In [5]:
import numpy as np
import networkx as nx

from helpers import import_data, Data
In [6]:
data = import_data("gdb1.txt")
In [8]:
def plot_graph(G: nx.DiGraph, path: list | None = None):
    options = {
        "font_size": 24,
        "node_size": 1500,
        "node_color": "white",
        "edgecolors": "black",
        "linewidths": 3,
        "width": 3,
        "with_labels": True,
    }

    layers = {
        0: [1],
        1: [2, 7, 12],
        2: [10, 4],
        3: [9, 8, 6],
        4: [11, 5, 3],
    }

    pos = {}
    width = 1.0 / (len(layers) - 1)
    for i, (layer, nodes) in enumerate(layers.items()):
        height = 1.0 / (len(nodes) + 1)
        for j, node in enumerate(nodes):
            pos[node] = (i * width, (j + 1) * height)

    nx.draw(G, pos, **options)

    if path is not None:
        path_edges = list(zip(path, path[1:]))
        nx.draw_networkx_edges(G, pos, edgelist=path_edges, edge_color="r", width=5)
        nx.draw_networkx_nodes(G, pos, nodelist=path, node_color="lightblue", node_size=2000)


plot_graph(data.graph)
No description has been provided for this image

Solution¶

In [25]:
class RubbishCollectionACO:
    def __init__(self, data: Data, alpha=1.0, beta=1.0, evaporation_rate=0.5, iterations=100):
        """
        Initializes the ACO model for rubbish collection.
        :param graph: A NetworkX graph where nodes represent junctions and edges represent streets.
                       Edges must have 'cost', 'demand', and 'frequency' attributes.
        :param n_vehicles: Number of vehicles available for rubbish collection.
        :param alpha: Pheromone importance coefficient.
        :param beta: Cost (desirability) importance coefficient.
        :param evaporation_rate: Rate at which pheromone evaporates.
        :param iterations: Number of iterations to run the simulation.
        """
        self.graph = data.graph
        self.n_vehicles = data.nb_trucks
        self.alpha = alpha
        self.beta = beta
        self.evaporation_rate = evaporation_rate
        self.iterations = iterations
        self.pheromone = {edge: 1.0 for edge in self.graph.edges}  # Initial pheromone level

    def update_pheromone(self, all_paths, costs):
        """
        Updates pheromone levels based on the paths taken by all ants in an iteration.
        :param all_paths: A list of paths taken by all ants.
        :param costs: A list of total costs for each path.
        """
        # Evaporate pheromone
        for edge in self.pheromone:
            self.pheromone[(edge[0], edge[1])] *= 1 - self.evaporation_rate

        # Add pheromone
        for path, cost in zip(all_paths, costs):
            for edge in path:
                # Increase pheromone based on the efficiency of the path
                self.pheromone[(edge[0], edge[1])] += 1 / cost

    def choose_next_edge(self, current_node, visited_edges):
        """
        Chooses the next edge for an ant to follow based on pheromone levels and edge desirability.
        :param current_node: The current node the ant is at.
        :param visited_edges: Edges already visited by the ant.
        :return: The next edge to follow.
        """
        edges = list(self.graph.edges(current_node, data=True))
        probabilities = []
        for edge in edges:
            if (edge[0], edge[1]) not in visited_edges:
                pheromone_level = self.pheromone[(edge[0], edge[1])]
                desirability = 1 / edge[2]["cost_traversing"]  # Assuming cost is always > 0
                probability = (pheromone_level**self.alpha) * (desirability**self.beta)
                probabilities.append(probability)
            else:
                probabilities.append(0)

        probabilities = np.array(probabilities) / np.sum(probabilities)
        if np.isnan(probabilities).any():
            probabilities = np.ones(len(edges)) / np.sum(len(edges))

        print(edges, probabilities)

        edge_idx = list(range(len(edges)))
        idx = np.random.choice(edge_idx, p=probabilities)
        return edges[idx]

    def find_path(self):
        """
        Finds a path for a single ant based on current pheromone levels.
        :return: The path and total cost.
        """
        path = []
        total_cost = 0
        current_node = 1  # Starting at the depot node
        visited_edges = set()

        while len(visited_edges) < len(self.graph.edges):
            next_edge = self.choose_next_edge(current_node, visited_edges)
            if next_edge:
                path.append(next_edge)
                visited_edges.add((next_edge[0], next_edge[1]))
                total_cost += next_edge[2]["cost_traversing"]
                # Move to the next node
                current_node = next_edge[1]
            else:
                # If no unvisited edges, break the loop
                break

        return path, total_cost

    def run(self):
        """
        Runs the ACO algorithm for a set number of iterations to find the optimal routes for rubbish collection.
        """
        best_cost = float("inf")
        best_paths = None

        for iteration in range(self.iterations):
            all_paths = []
            costs = []

            for _ in range(self.n_vehicles):
                path, cost = self.find_path()
                all_paths.append(path)
                costs.append(cost)

            # Update pheromone levels based on the paths of all ants
            self.update_pheromone(all_paths, costs)

            # Check if we found a better solution
            iteration_best_cost = min(costs)
            if iteration_best_cost < best_cost:
                best_cost = iteration_best_cost
                best_paths = all_paths[costs.index(best_cost)]

            print(f"Iteration {iteration+1}, Best Cost: {best_cost}")

        return best_paths, best_cost
In [26]:
# Initialize and run the ACO model
aco_model = RubbishCollectionACO(data)
best_paths, best_cost = aco_model.run()

print(f"Best Paths: {best_paths}\nBest Cost: {best_cost}")
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15666303 0.11980114 0.10719049 0.10719049 0.50915484]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09896907 0.62680412 0.11752577 0.15670103]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2238806  0.59701493 0.17910448]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26519337 0.         0.31491713 0.4198895 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17547195 0.13418444 0.12005976 0.         0.57028385]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34256055 0.12456747 0.4567474  0.07612457]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10892587 0.51739788 0.25869894 0.11497731]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19672131 0.3442623  0.45901639]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37078652 0.13483146 0.49438202 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36363636 0.63636364 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22570533 0.         0.53605016 0.23824451]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0.         0.44444444]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1640625 0.328125  0.234375  0.2734375]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48648649 0.         0.         0.51351351]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.73333333 0.26666667 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40834387 0.31226296 0.27939317 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56666667 0.43333333 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10344828 0.07471264 0.14942529 0.67241379]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78873239 0.09859155 0.11267606]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24418605 0.         0.34883721 0.40697674]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88888889 0.11111111 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31578947 0.22807018 0.45614035 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26745914 0.50520059 0.22734027]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33333333 0.66666667 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54054054 0.         0.45945946]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.42857143 0.57142857]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.375 0.    0.    0.625]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41342282 0.29530201 0.1033557  0.18791946]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18181818 0.16363636 0.65454545]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50343249 0.17620137 0.32036613]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35483871 0.64516129]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52631579 0.47368421 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15666303 0.11980114 0.10719049 0.10719049 0.50915484]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34256055 0.12456747 0.4567474  0.07612457]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19672131 0.3442623  0.45901639]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10892587 0.51739788 0.25869894 0.11497731]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2238806  0.59701493 0.17910448]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09896907 0.62680412 0.11752577 0.15670103]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1640625 0.328125  0.234375  0.2734375]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78873239 0.09859155 0.11267606]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11735941 0.74327628 0.1393643  0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.875 0.    0.125]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10344828 0.07471264 0.14942529 0.67241379]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21428571 0.42857143 0.         0.35714286]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0.         0.44444444]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.375 0.    0.    0.625]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41342282 0.29530201 0.1033557  0.18791946]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63057325 0.22929936 0.         0.14012739]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14693878 0.69795918 0.         0.15510204]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3 0.  0.7]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.73333333 0.26666667 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31916996 0.24407115 0.21837945 0.21837945 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31578947 0.22807018 0.45614035 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26745914 0.50520059 0.22734027]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18181818 0.16363636 0.65454545]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50909091 0.36363636 0.12727273 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.8 0.  0.2 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52631579 0.47368421 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58064516 0.41935484 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34615385 0.65384615 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35849057 0.32075472 0.32075472 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.  0.  0.5 0.5 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13636364 0.86363636 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48648649 0.         0.         0.51351351]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15666303 0.11980114 0.10719049 0.10719049 0.50915484]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10892587 0.51739788 0.25869894 0.11497731]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19672131 0.3442623  0.45901639]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41342282 0.29530201 0.1033557  0.18791946]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18181818 0.16363636 0.65454545]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50343249 0.17620137 0.32036613]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.42857143 0.57142857]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22570533 0.         0.53605016 0.23824451]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2238806  0.59701493 0.17910448]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1640625 0.328125  0.234375  0.2734375]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27272727 0.72727273 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48648649 0.         0.         0.51351351]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17547195 0.13418444 0.         0.12005976 0.57028385]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10344828 0.07471264 0.14942529 0.67241379]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78873239 0.09859155 0.11267606]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31578947 0.22807018 0.45614035 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26745914 0.50520059 0.22734027]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58064516 0.41935484 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.1627409  0.         0.14561028 0.69164882]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34256055 0.12456747 0.4567474  0.07612457]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63057325 0.22929936 0.         0.14012739]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52777778 0.         0.47222222 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09896907 0.62680412 0.11752577 0.15670103]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54054054 0.         0.45945946]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62068966 0.         0.37931034]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.69565217 0.13043478 0.17391304]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.42857143 0.57142857]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24418605 0.         0.34883721 0.40697674]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46666667 0.53333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.375 0.    0.    0.625]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35483871 0.64516129]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52631579 0.47368421 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15666303 0.11980114 0.10719049 0.10719049 0.50915484]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34256055 0.12456747 0.4567474  0.07612457]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31916996 0.24407115 0.21837945 0.21837945 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10892587 0.51739788 0.25869894 0.11497731]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19672131 0.3442623  0.45901639]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41342282 0.29530201 0.1033557  0.18791946]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18181818 0.16363636 0.65454545]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50343249 0.17620137 0.32036613]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18947368 0.69473684 0.11578947]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22570533 0.         0.53605016 0.23824451]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2238806  0.59701493 0.17910448]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48648649 0.         0.         0.51351351]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21428571 0.78571429 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.42857143 0.57142857]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74074074 0.25925926 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40834387 0.31226296 0.         0.27939317 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09896907 0.62680412 0.11752577 0.15670103]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78873239 0.09859155 0.11267606]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10344828 0.07471264 0.14942529 0.67241379]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46666667 0.53333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11214953 0.71028037 0.         0.17757009]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76923077 0.23076923]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38709677 0.         0.         0.61290323]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56666667 0.43333333 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31578947 0.22807018 0.45614035 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26745914 0.50520059 0.22734027]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33333333 0.66666667 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54054054 0.         0.45945946]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52631579 0.47368421 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1640625 0.328125  0.234375  0.2734375]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24418605 0.         0.34883721 0.40697674]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46153846 0.53846154]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15666303 0.11980114 0.10719049 0.10719049 0.50915484]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10892587 0.51739788 0.25869894 0.11497731]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2238806  0.59701493 0.17910448]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09896907 0.62680412 0.11752577 0.15670103]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0.         0.44444444]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14693878 0.69795918 0.         0.15510204]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19672131 0.3442623  0.45901639]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41342282 0.29530201 0.1033557  0.18791946]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18181818 0.16363636 0.65454545]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10344828 0.07471264 0.14942529 0.67241379]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78873239 0.09859155 0.11267606]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26519337 0.         0.31491713 0.4198895 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.875 0.    0.125]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31578947 0.22807018 0.45614035 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17547195 0.13418444 0.         0.12005976 0.57028385]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38709677 0.         0.         0.61290323]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1640625 0.328125  0.234375  0.2734375]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19941349 0.15249267 0.         0.         0.64809384]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34256055 0.12456747 0.4567474  0.07612457]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.42857143 0.57142857]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63057325 0.22929936 0.         0.14012739]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50343249 0.17620137 0.32036613]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48648649 0.         0.         0.51351351]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81818182 0.         0.         0.18181818]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56666667 0.43333333 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26745914 0.50520059 0.22734027]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.  0.2 0.8]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35483871 0.64516129]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33333333 0.66666667 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34615385 0.65384615 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22580645 0.4516129  0.32258065 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41176471 0.         0.58823529 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 1, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15679242 0.12019699 0.10770519 0.10751647 0.50778893]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34304518 0.12471079 0.45620917 0.07603486]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41285816 0.29558628 0.1034552  0.18810036]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18150974 0.16335876 0.6551315 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26812733 0.50473977 0.2271329 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10312737 0.07465454 0.14934849 0.6728696 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78836993 0.09900579 0.11262428]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402673 0.32881658 0.23377881 0.27337788]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22342515 0.59783474 0.17874012]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10970876 0.51709851 0.25854926 0.11464347]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19693159 0.34463028 0.45843813]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22718662 0.         0.53540787 0.23740551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31854712 0.24419807 0.21881911 0.2184357  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09901635 0.62616415 0.11755096 0.15726854]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.        0.7698353 0.2301647]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24438436 0.         0.34830838 0.40730726]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88842856 0.11157144 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31524851 0.22821034 0.45654115 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54138676 0.         0.45861324]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40757635 0.31244783 0.27997583 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69280357 0.30719643]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26486584 0.         0.31444539 0.42068876]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.375 0.    0.    0.625]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45720819 0.         0.54279181 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56605925 0.43394075 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21695051 0.         0.78304949]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50343249 0.17620137 0.32036613]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.61111111 0.         0.38888889]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39192209 0.         0.52120963 0.08686827]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42920652 0.         0.57079348 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3004893 0.        0.6995107]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58007797 0.41992203 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15679242 0.12019699 0.10770519 0.10751647 0.50778893]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10970876 0.51709851 0.25854926 0.11464347]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19693159 0.34463028 0.45843813]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22718662 0.         0.53540787 0.23740551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17571818 0.13470547 0.         0.12049433 0.56908202]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34304518 0.12471079 0.45620917 0.07603486]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3004893 0.        0.6995107]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63084032 0.22933595 0.         0.13982373]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40777639 0.31260118 0.         0.27962243 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09901635 0.62616415 0.11755096 0.15726854]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402673 0.32881658 0.23377881 0.27337788]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41285816 0.29558628 0.1034552  0.18810036]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62123781 0.         0.37876219]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50850886 0.36406751 0.12742363 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79962711 0.         0.20037289 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18150974 0.16335876 0.6551315 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10312737 0.07465454 0.14934849 0.6728696 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78836993 0.09900579 0.11262428]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31524851 0.22821034 0.45654115 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19958547 0.80041453]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39333385 0.27964866 0.32701749]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22342515 0.59783474 0.17874012]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46095973 0.53904027]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11749455 0.74301741 0.13948804 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46782479 0.53217521]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13654028 0.86345972 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56605925 0.43394075 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40846428 0.         0.59153572 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26812733 0.50473977 0.2271329 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54138676 0.         0.45861324]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2720517 0.7279483 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69280357 0.30719643]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15679242 0.12019699 0.10770519 0.10751647 0.50778893]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34304518 0.12471079 0.45620917 0.07603486]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31854712 0.24419807 0.21881911 0.2184357  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26812733 0.50473977 0.2271329 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10312737 0.07465454 0.14934849 0.6728696 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42146905 0.         0.28951912 0.28901183 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10970876 0.51709851 0.25854926 0.11464347]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19693159 0.34463028 0.45843813]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22718662 0.         0.53540787 0.23740551]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22342515 0.59783474 0.17874012]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09901635 0.62616415 0.11755096 0.15726854]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402673 0.32881658 0.23377881 0.27337788]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0.         0.44444444]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24438436 0.         0.34830838 0.40730726]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78836993 0.09900579 0.11262428]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08323873 0.1665214  0.75023987]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46782479 0.53217521]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.375 0.    0.    0.625]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11749455 0.74301741 0.13948804 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4890023 0.        0.        0.5109977]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5932166 0.        0.        0.4067834 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45720819 0.         0.54279181 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33327469 0.66672531 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54138676 0.         0.45861324]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18150974 0.16335876 0.6551315 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41285816 0.29558628 0.1034552  0.18810036]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.1898316  0.69443005 0.11573834]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21467809 0.78532191 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3004893 0.        0.6995107]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50850886 0.36406751 0.12742363 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52631579 0.47368421 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74074074 0.25925926 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15679242 0.12019699 0.10770519 0.10751647 0.50778893]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10312737 0.07465454 0.14934849 0.6728696 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78836993 0.09900579 0.11262428]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31524851 0.22821034 0.45654115 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14254733 0.12773271 0.1275089  0.60221106]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34304518 0.12471079 0.45620917 0.07603486]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10970876 0.51709851 0.25854926 0.11464347]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19693159 0.34463028 0.45843813]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37127503 0.13497348 0.4937515  0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36363636 0.63636364 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22718662 0.         0.53540787 0.23740551]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22342515 0.59783474 0.17874012]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402673 0.32881658 0.23377881 0.27337788]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46782479 0.53217521]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21407229 0.42914055 0.         0.35678716]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09901635 0.62616415 0.11755096 0.15726854]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2720517 0.7279483 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26486584 0.         0.31444539 0.42068876]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35834916 0.32110674 0.3205441  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.42773879 0.57226121]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3328172 0.6671828 0.        0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4890023 0.        0.        0.5109977]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52740606 0.47259394 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.73338494 0.26661506 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26812733 0.50473977 0.2271329 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33327469 0.66672531 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18150974 0.16335876 0.6551315 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41285816 0.29558628 0.1034552  0.18810036]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50850886 0.36406751 0.12742363 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79962711 0.         0.20037289 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52631579 0.47368421 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54138676 0.         0.45861324]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15679242 0.12019699 0.10770519 0.10751647 0.50778893]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34304518 0.12471079 0.45620917 0.07603486]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31854712 0.24419807 0.21881911 0.2184357  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10312737 0.07465454 0.14934849 0.6728696 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78836993 0.09900579 0.11262428]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31524851 0.22821034 0.45654115 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26812733 0.50473977 0.2271329 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58007797 0.41992203 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35834916 0.32110674 0.3205441  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54138676 0.         0.45861324]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50043843 0.49956157 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10970876 0.51709851 0.25854926 0.11464347]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09901635 0.62616415 0.11755096 0.15726854]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46782479 0.53217521]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402673 0.32881658 0.23377881 0.27337788]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41285816 0.29558628 0.1034552  0.18810036]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18150974 0.16335876 0.6551315 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21695051 0.         0.78304949]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50343249 0.17620137 0.32036613]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39333385 0.27964866 0.32701749]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11220631 0.70957542 0.         0.17821827]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.        0.5844637 0.4155363 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13654028 0.86345972 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22342515 0.59783474 0.17874012]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.1898316  0.69443005 0.11573834]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.61111111 0.         0.38888889]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19693159 0.34463028 0.45843813]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.5808195  0.29040975 0.12877075]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85714286 0.14285714]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3004893 0.        0.6995107]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.66666667 0.33333333 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0.         0.44444444]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
Iteration 2, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15628473 0.11966076 0.1064453  0.10730259 0.51030661]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34674681 0.12458531 0.45298061 0.07568727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31914814 0.24435853 0.21737133 0.219122   0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26710906 0.5075342  0.22535674]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42235392 0.         0.28766464 0.28998144 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10959695 0.51772425 0.25740282 0.11527598]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19616499 0.34455481 0.4592802 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22724956 0.         0.5337254  0.23902504]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22343867 0.59781039 0.17875094]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48737281 0.         0.         0.51262719]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59291444 0.         0.         0.40708556 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09981595 0.6238533  0.11820626 0.15812448]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402779 0.32879601 0.23379655 0.27337965]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76981736 0.23018264]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11856379 0.74102797 0.14040824 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78966454 0.0989822  0.11135327]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24437845 0.         0.34832413 0.40729742]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4135042  0.29493806 0.10386989 0.18768785]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18027874 0.16464988 0.65507138]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69250986 0.30749014]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10245686 0.07416278 0.14990979 0.67347058]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88861468 0.11138532 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31377526 0.22712433 0.4591004  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21581219 0.         0.78418781]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5800989 0.4199011 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50288179 0.17710253 0.32001568]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29928511 0.         0.70071489]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19071519 0.69342273 0.11586208]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35625837 0.64374163]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46097697 0.53902303]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13793035 0.86206965 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62207871 0.         0.37792129]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15628473 0.11966076 0.1064453  0.10730259 0.51030661]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34674681 0.12458531 0.45298061 0.07568727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31914814 0.24435853 0.21737133 0.219122   0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10245686 0.07416278 0.14990979 0.67347058]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78966454 0.0989822  0.11135327]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31377526 0.22712433 0.4591004  0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18027874 0.16464988 0.65507138]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40598414 0.         0.59401586 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26710906 0.5075342  0.22535674]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35890117 0.31926377 0.32183506 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09981595 0.6238533  0.11820626 0.15812448]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22343867 0.59781039 0.17875094]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402779 0.32879601 0.23379655 0.27337965]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26536443 0.         0.31425573 0.42037983]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52922401 0.47077599 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54239108 0.         0.45760892]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10959695 0.51772425 0.25740282 0.11527598]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19616499 0.34455481 0.4592802 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4135042  0.29493806 0.10386989 0.18768785]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.20086081 0.79913919]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50288179 0.17710253 0.32001568]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.42863872 0.57136128]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22724956 0.         0.5337254  0.23902504]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69068275 0.30931725]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27207175 0.72792825 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.42777092 0.57222908]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47059205 0.52940795]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22574071 0.45250041 0.32175888 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19071519 0.69342273 0.11586208]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41231211 0.         0.58768789 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35625837 0.64374163]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21570751 0.78429249 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15628473 0.11966076 0.1064453  0.10730259 0.51030661]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10245686 0.07416278 0.14990979 0.67347058]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78966454 0.0989822  0.11135327]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31377526 0.22712433 0.4591004  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26710906 0.5075342  0.22535674]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5800989 0.4199011 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14182599 0.12616259 0.12717868 0.60483273]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34674681 0.12458531 0.45298061 0.07568727]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19616499 0.34455481 0.4592802 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63388395 0.227753   0.         0.13836305]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35890117 0.31926377 0.32183506 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54239108 0.         0.45760892]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18027874 0.16464988 0.65507138]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.49799463 0.50200537 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10959695 0.51772425 0.25740282 0.11527598]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36278492 0.63721508 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22724956 0.         0.5337254  0.23902504]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22343867 0.59781039 0.17875094]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09981595 0.6238533  0.11820626 0.15812448]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0.         0.44444444]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402779 0.32879601 0.23379655 0.27337965]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26536443 0.         0.31425573 0.42037983]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47059205 0.52940795]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38697288 0.         0.         0.61302712]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22574071 0.45250041 0.32175888 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33283253 0.66716747 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4135042  0.29493806 0.10386989 0.18768785]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21581219 0.         0.78418781]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50288179 0.17710253 0.32001568]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35625837 0.64374163]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48737281 0.         0.         0.51262719]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62207871 0.         0.37792129]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15628473 0.11966076 0.1064453  0.10730259 0.51030661]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10245686 0.07416278 0.14990979 0.67347058]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78966454 0.0989822  0.11135327]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31377526 0.22712433 0.4591004  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26710906 0.5075342  0.22535674]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5800989 0.4199011 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14182599 0.12616259 0.12717868 0.60483273]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54239108 0.         0.45760892]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.14701283 0.14819684 0.70479032]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34674681 0.12458531 0.45298061 0.07568727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.49799463 0.50200537 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10959695 0.51772425 0.25740282 0.11527598]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19616499 0.34455481 0.4592802 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22724956 0.         0.5337254  0.23902504]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22343867 0.59781039 0.17875094]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402779 0.32879601 0.23379655 0.27337965]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47059205 0.52940795]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21407864 0.42912363 0.         0.35679773]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4135042  0.29493806 0.10386989 0.18768785]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18027874 0.16464988 0.65507138]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50288179 0.17710253 0.32001568]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29928511 0.         0.70071489]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35625837 0.64374163]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54601344 0.         0.45398656]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27207175 0.72792825 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09981595 0.6238533  0.11820626 0.15812448]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48737281 0.         0.         0.51262719]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19071519 0.69342273 0.11586208]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62207871 0.         0.37792129]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26536443 0.         0.31425573 0.42037983]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38697288 0.         0.         0.61302712]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52265522 0.47734478 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15628473 0.11966076 0.1064453  0.10730259 0.51030661]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10959695 0.51772425 0.25740282 0.11527598]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22343867 0.59781039 0.17875094]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09981595 0.6238533  0.11820626 0.15812448]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0.         0.44444444]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.147586   0.69718047 0.         0.15523353]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34674681 0.12458531 0.45298061 0.07568727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17490226 0.13391543 0.         0.12008509 0.57109723]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19071519 0.69342273 0.11586208]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.17470628 0.82529372 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19616499 0.34455481 0.4592802 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21570751 0.78429249 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4135042  0.29493806 0.10386989 0.18768785]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36278492 0.63721508 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58647925 0.         0.14732023 0.26620052]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18027874 0.16464988 0.65507138]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35625837 0.64374163]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40778999 0.31222793 0.         0.27998207 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10245686 0.07416278 0.14990979 0.67347058]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78966454 0.0989822  0.11135327]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31377526 0.22712433 0.4591004  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52722502 0.         0.47277498 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26536443 0.         0.31425573 0.42037983]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47059205 0.52940795]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402779 0.32879601 0.23379655 0.27337965]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24437845 0.         0.34832413 0.40729742]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46097697 0.53902303]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38697288 0.         0.         0.61302712]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26710906 0.5075342  0.22535674]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.        0.3309766 0.6690234 0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52265522 0.47734478 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54239108 0.         0.45760892]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
Iteration 3, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15423924 0.11980233 0.10754721 0.10629269 0.51211854]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10251537 0.07419523 0.14988119 0.6734082 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26712963 0.50739707 0.2254733 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12058946 0.08727631 0.         0.79213423]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78960925 0.09895903 0.11143172]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58013141 0.41986859 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18037033 0.16458958 0.65504009]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41345453 0.29416214 0.10518925 0.18719409]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19406403 0.34078962 0.46514635]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078082  0.51602927 0.25845128 0.11771125]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29438862 0.         0.70561138]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35177546 0.12660796 0.44567377 0.07594281]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14165037 0.12716032 0.12567702 0.60551229]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19531497 0.68752992 0.11715511]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58576417 0.         0.14902749 0.26520834]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62506776 0.         0.37493224]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79718402 0.         0.20281598 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52287332 0.47712668 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35907424 0.32234292 0.31858284 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2227577  0.         0.53402254 0.24321977]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52987602 0.         0.47012398 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54228186 0.         0.45771814]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09925198 0.62947595 0.11605514 0.15521693]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16717779 0.32559416 0.23158236 0.27564569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2245816 0.5954024 0.180016 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11748813 0.74513325 0.13737863 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55507397 0.         0.44492603]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68707343 0.31292657]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.247889   0.         0.34338724 0.40872375]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.45656458 0.54343542]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46097863 0.         0.53902137 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47035826 0.52964174]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15423924 0.11980233 0.10754721 0.10629269 0.51211854]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35177546 0.12660796 0.44567377 0.07594281]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19406403 0.34078962 0.46514635]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63460006 0.22839972 0.         0.13700022]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3161408  0.24555622 0.22043717 0.21786581 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10251537 0.07419523 0.14988119 0.6734082 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35907424 0.32234292 0.31858284 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26712963 0.50739707 0.2254733 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.        0.0826702 0.1670014 0.7503284]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78960925 0.09895903 0.11143172]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33111574 0.66888426 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18037033 0.16458958 0.65504009]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41345453 0.29416214 0.10518925 0.18719409]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52287332 0.47712668 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54228186 0.         0.45771814]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50293331 0.49706669 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078082  0.51602927 0.25845128 0.11771125]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62506776 0.         0.37493224]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50151634 0.1793369  0.31914676]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36283576 0.63716424 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12219152 0.58487573 0.29293276 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35976485 0.64023515]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29434925 0.         0.70565075 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2245816 0.5954024 0.180016 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09925198 0.62947595 0.11605514 0.15521693]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55507397 0.         0.44492603]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2678692  0.         0.31321891 0.4189119 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16717779 0.32559416 0.23158236 0.27564569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.247889   0.         0.34338724 0.40872375]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.42781823 0.57218177]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47035826 0.52964174]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41924397 0.         0.58075603 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15423924 0.11980233 0.10754721 0.10629269 0.51211854]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09925198 0.62947595 0.11605514 0.15521693]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2245816 0.5954024 0.180016 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2678692  0.         0.31321891 0.4189119 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16717779 0.32559416 0.23158236 0.27564569]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41345453 0.29416214 0.10518925 0.18719409]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35177546 0.12660796 0.44567377 0.07594281]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19406403 0.34078962 0.46514635]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63460006 0.22839972 0.         0.13700022]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17258361 0.13405097 0.12033829 0.         0.57302713]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10251537 0.07419523 0.14988119 0.6734082 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78960925 0.09895903 0.11143172]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31389451 0.22718033 0.45892516 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18037033 0.16458958 0.65504009]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50867559 0.36190945 0.12941496 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36283576 0.63716424 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078082  0.51602927 0.25845128 0.11771125]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79718402 0.         0.20281598 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52287332 0.47712668 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40616786 0.         0.59383214 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26712963 0.50739707 0.2254733 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.16201149 0.14543861 0.         0.6925499 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69234219 0.30765781]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.17355681 0.         0.82644319]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62506776 0.         0.37493224]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39095278 0.27806939 0.33097783]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46097863 0.         0.53902137 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47035826 0.52964174]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.58436446 0.41563554 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2227577  0.         0.53402254 0.24321977]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55507397 0.         0.44492603]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47804393 0.         0.         0.52195607]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15423924 0.11980233 0.10754721 0.10629269 0.51211854]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35177546 0.12660796 0.44567377 0.07594281]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19406403 0.34078962 0.46514635]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63460006 0.22839972 0.         0.13700022]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3161408  0.24555622 0.22043717 0.21786581 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078082  0.51602927 0.25845128 0.11771125]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2245816 0.5954024 0.180016 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09925198 0.62947595 0.11605514 0.15521693]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55507397 0.         0.44492603]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1453825  0.69588047 0.         0.15873704]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36283576 0.63716424 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47804393 0.         0.         0.52195607]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40553601 0.31499221 0.         0.27947177 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10251537 0.07419523 0.14988119 0.6734082 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78960925 0.09895903 0.11143172]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31389451 0.22718033 0.45892516 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52987602 0.         0.47012398 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2678692  0.         0.31321891 0.4189119 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26712963 0.50739707 0.2254733 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18037033 0.16458958 0.65504009]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41345453 0.29416214 0.10518925 0.18719409]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16717779 0.32559416 0.23158236 0.27564569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47035826 0.52964174]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21756111 0.42372031 0.         0.35871859]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46205807 0.32874229 0.         0.20919964]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68834676 0.         0.         0.31165324]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52287332 0.47712668 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33111574 0.66888426 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34489402 0.65510598 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62506776 0.         0.37493224]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.42781823 0.57218177]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54153789 0.         0.45846211]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15423924 0.11980233 0.10754721 0.10629269 0.51211854]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35177546 0.12660796 0.44567377 0.07594281]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3161408  0.24555622 0.22043717 0.21786581 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10251537 0.07419523 0.14988119 0.6734082 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78960925 0.09895903 0.11143172]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31389451 0.22718033 0.45892516 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35907424 0.32234292 0.31858284 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26712963 0.50739707 0.2254733 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50293331 0.49706669 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09925198 0.62947595 0.11605514 0.15521693]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47035826 0.52964174]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.112283   0.71212128 0.         0.17559572]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16717779 0.32559416 0.23158236 0.27564569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21756111 0.42372031 0.         0.35871859]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41345453 0.29416214 0.10518925 0.18719409]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18037033 0.16458958 0.65504009]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50151634 0.1793369  0.31914676]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19531497 0.68752992 0.11715511]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19406403 0.34078962 0.46514635]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62506776 0.         0.37493224]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078082  0.51602927 0.25845128 0.11771125]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2245816 0.5954024 0.180016 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13619895 0.86380105 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55507397 0.         0.44492603]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54153789 0.         0.45846211]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1453825  0.69588047 0.         0.15873704]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69234219 0.30765781]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33111574 0.66888426 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52287332 0.47712668 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73659977 0.26340023 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36283576 0.63716424 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.81425955 0.         0.18574045]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
Iteration 4, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16038287 0.1227774  0.10734883 0.10288432 0.50660657]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09922666 0.62923682 0.11618676 0.15534976]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79109716 0.09711152 0.11179132]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10147221 0.0778468  0.14920444 0.67147655]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46486453 0.53513547]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16745934 0.3270274  0.23270392 0.27280934]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11227107 0.71195677 0.         0.17577216]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22841228 0.59028931 0.18129841]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38977161 0.         0.         0.61022839]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17877614 0.13685794 0.11965997 0.         0.56470596]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34614719 0.12657528 0.44948384 0.0777937 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18752408 0.35235039 0.46012553]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41578363 0.28623488 0.10615123 0.19183026]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18227926 0.16114938 0.65657136]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48994671 0.18169848 0.32835482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43367487 0.56632513]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62876843 0.2299211  0.         0.14131046]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.410702   0.31440343 0.27489457 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26168717 0.50272186 0.23559097]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59904326 0.         0.40095674 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10512772 0.51417644 0.25504199 0.12565385]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21639074 0.         0.52496835 0.25864091]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55749651 0.         0.44250349]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45552909 0.         0.         0.54447091]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30887357 0.23695965 0.45416678 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61934685 0.         0.38065315]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3562343 0.6437657]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23028258 0.44971342 0.320004   0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.58425781 0.41574219 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53076314 0.46923686 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34286006 0.65713994 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.6809063 0.3190937]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16038287 0.1227774  0.10734883 0.10288432 0.50660657]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26168717 0.50272186 0.23559097]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1828303  0.         0.12237354 0.11728417 0.57751199]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34614719 0.12657528 0.44948384 0.0777937 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10512772 0.51417644 0.25504199 0.12565385]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22841228 0.59028931 0.18129841]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09922666 0.62923682 0.11618676 0.15534976]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43274673 0.         0.28964973 0.27760354 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14111898 0.69020863 0.         0.16867239]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18752408 0.35235039 0.46012553]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3753468  0.13725268 0.48740052 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60920189 0.         0.         0.39079811 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.69855178 0.12898556 0.17246265]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16745934 0.3270274  0.23270392 0.27280934]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55749651 0.         0.44250349]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45552909 0.         0.         0.54447091]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21972621 0.78027379 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34734757 0.65265243 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41578363 0.28623488 0.10615123 0.19183026]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18227926 0.16114938 0.65657136]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48994671 0.18169848 0.32835482]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.72947252 0.27052748 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2488353  0.         0.34578514 0.40537956]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.84413324 0.15586676 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41847754 0.         0.58152246 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10147221 0.0778468  0.14920444 0.67147655]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79109716 0.09711152 0.11179132]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30887357 0.23695965 0.45416678 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53076314 0.46923686 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40479324 0.         0.59520676 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.6809063 0.3190937]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46486453 0.53513547]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16038287 0.1227774  0.10734883 0.10288432 0.50660657]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26168717 0.50272186 0.23559097]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10147221 0.0778468  0.14920444 0.67147655]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1828303  0.         0.12237354 0.11728417 0.57751199]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34614719 0.12657528 0.44948384 0.0777937 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18752408 0.35235039 0.46012553]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10512772 0.51417644 0.25504199 0.12565385]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43274673 0.         0.28964973 0.27760354 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09922666 0.62923682 0.11618676 0.15534976]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22841228 0.59028931 0.18129841]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26762814 0.         0.31337189 0.41899997]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79109716 0.09711152 0.11179132]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38977161 0.         0.         0.61022839]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59904326 0.         0.40095674 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08663817 0.16605434 0.74730749]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87618479 0.         0.12381521]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34286006 0.65713994 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18227926 0.16114938 0.65657136]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41578363 0.28623488 0.10615123 0.19183026]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53076314 0.46923686 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52623903 0.         0.47376097]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.57458081 0.28500379 0.1404154 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28954558 0.         0.71045442]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48994671 0.18169848 0.32835482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62876843 0.2299211  0.         0.14131046]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.66993638 0.33006362]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61934685 0.         0.38065315]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3562343 0.6437657]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55749651 0.         0.44250349]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16745934 0.3270274  0.23270392 0.27280934]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39280652 0.27951058 0.3276829 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46033199 0.53966801]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16038287 0.1227774  0.10734883 0.10288432 0.50660657]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10512772 0.51417644 0.25504199 0.12565385]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17967027 0.13754242 0.         0.11525703 0.56753028]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10147221 0.0778468  0.14920444 0.67147655]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79109716 0.09711152 0.11179132]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16745934 0.3270274  0.23270392 0.27280934]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89066587 0.10933413 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30887357 0.23695965 0.45416678 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.16766724 0.         0.14050086 0.69183191]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26168717 0.50272186 0.23559097]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18227926 0.16114938 0.65657136]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41578363 0.28623488 0.10615123 0.19183026]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53076314 0.46923686 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34286006 0.65713994 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34233919 0.65766081 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.         0.16880371 0.83119629]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09922666 0.62923682 0.11618676 0.15534976]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22841228 0.59028931 0.18129841]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.57458081 0.28500379 0.1404154 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76503202 0.23496798]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26762814 0.         0.31337189 0.41899997]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38977161 0.         0.         0.61022839]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34614719 0.12657528 0.44948384 0.0777937 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21824605 0.42620757 0.         0.35554637]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48994671 0.18169848 0.32835482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18752408 0.35235039 0.46012553]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19358376 0.68743886 0.11897738]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34734757 0.65265243 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.80361379 0.         0.19638621]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3562343 0.6437657]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54519401 0.         0.45480599]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61934685 0.         0.38065315]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16038287 0.1227774  0.10734883 0.10288432 0.50660657]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34614719 0.12657528 0.44948384 0.0777937 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10512772 0.51417644 0.25504199 0.12565385]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22841228 0.59028931 0.18129841]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09922666 0.62923682 0.11618676 0.15534976]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16745934 0.3270274  0.23270392 0.27280934]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55749651 0.         0.44250349]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14111898 0.69020863 0.         0.16867239]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18752408 0.35235039 0.46012553]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41578363 0.28623488 0.10615123 0.19183026]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3753468  0.13725268 0.48740052 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43367487 0.56632513]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.73224187 0.26775813 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51447562 0.35417669 0.13134769 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18227926 0.16114938 0.65657136]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.72947252 0.27052748 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2488353  0.         0.34578514 0.40537956]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79109716 0.09711152 0.11179132]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10147221 0.0778468  0.14920444 0.67147655]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46486453 0.53513547]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38035715 0.         0.         0.61964285]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11747663 0.74496732 0.13755606 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45552909 0.         0.         0.54447091]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32506082 0.2488428  0.21757248 0.2085239  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26168717 0.50272186 0.23559097]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53076314 0.46923686 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30887357 0.23695965 0.45416678 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34233919 0.65766081 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40479324 0.         0.59520676 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43274673 0.         0.28964973 0.27760354 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60920189 0.         0.         0.39079811 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46063361 0.         0.53936639 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 5, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15921195 0.12051527 0.11031217 0.10623219 0.50372841]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0974734  0.07399361 0.14287115 0.68566184]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78603416 0.09954409 0.11442175]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31009091 0.23539493 0.45451416 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14333609 0.13120093 0.12634836 0.59911462]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26108675 0.50005635 0.23885689]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.15315333 0.14748884 0.69935784]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34773558 0.12286334 0.45396244 0.07543864]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20583335 0.34369711 0.45046953]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63683454 0.22500896 0.         0.1381565 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50942066 0.49057934 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10035358 0.61892021 0.11460126 0.16612495]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22877852 0.59067167 0.18054981]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16528317 0.33323152 0.23097376 0.27051156]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27918539 0.72081461 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10117426 0.52738528 0.25306702 0.11837345]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26334007 0.         0.30072774 0.43593218]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46523356 0.53476644]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37659162 0.         0.         0.62340838]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24788689 0.         0.34640774 0.40570537]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3792684 0.        0.        0.6207316]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41942148 0.28084349 0.10681469 0.19292035]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13545292 0.70606774 0.         0.15847934]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61957699 0.         0.38042301]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16096209 0.83903791 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37456222 0.62543778 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67674569 0.32325431]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34119702 0.65880298 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616329 0.16079744 0.65303928]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46957946 0.31442914 0.         0.2159914 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68494664 0.         0.         0.31505336]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53655436 0.46344564 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15921195 0.12051527 0.11031217 0.10623219 0.50372841]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0974734  0.07399361 0.14287115 0.68566184]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78603416 0.09954409 0.11442175]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31009091 0.23539493 0.45451416 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616329 0.16079744 0.65303928]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26108675 0.50005635 0.23885689]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14333609 0.13120093 0.12634836 0.59911462]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67674569 0.32325431]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40555696 0.         0.59444304 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22183355 0.         0.77816645]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41942148 0.28084349 0.10681469 0.19292035]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34773558 0.12286334 0.45396244 0.07543864]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20583335 0.34369711 0.45046953]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63683454 0.22500896 0.         0.1381565 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.15315333 0.14748884 0.69935784]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61957699 0.         0.38042301]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10117426 0.52738528 0.25306702 0.11837345]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22877852 0.59067167 0.18054981]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10035358 0.61892021 0.11460126 0.16612495]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50942066 0.49057934 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.6879594  0.12738478 0.18465582]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55891201 0.         0.44108799]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16528317 0.33323152 0.23097376 0.27051156]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51967793 0.34797493 0.13234714 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13545292 0.70606774 0.         0.15847934]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37456222 0.62543778 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4608304 0.        0.        0.5391696]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.72446167 0.27553833 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39921504 0.27670912 0.32407584]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.40823144 0.59176856]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46523356 0.53476644]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46057931 0.53942069]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15921195 0.12051527 0.11031217 0.10623219 0.50372841]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34773558 0.12286334 0.45396244 0.07543864]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32081617 0.24284137 0.22228187 0.2140606  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0974734  0.07399361 0.14287115 0.68566184]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78603416 0.09954409 0.11442175]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31009091 0.23539493 0.45451416 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616329 0.16079744 0.65303928]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40555696 0.         0.59444304 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26108675 0.50005635 0.23885689]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19757948 0.80242052]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41942148 0.28084349 0.10681469 0.19292035]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20583335 0.34369711 0.45046953]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10117426 0.52738528 0.25306702 0.11837345]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.3575488  0.32727791 0.31517329 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34301927 0.65698073 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50942066 0.49057934 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10035358 0.61892021 0.11460126 0.16612495]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46523356 0.53476644]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11334281 0.69902992 0.         0.18762727]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22877852 0.59067167 0.18054981]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16528317 0.33323152 0.23097376 0.27051156]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37659162 0.         0.         0.62340838]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.58674919 0.28155293 0.13169788]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18836432 0.69597915 0.11565653]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.67574313 0.32425687 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27918539 0.72081461 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22657407 0.45680164 0.31662429 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33155125 0.66844875 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31362555 0.         0.68637445]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58321307 0.         0.14852773 0.2682592 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3563637 0.6436363]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21299905 0.78700095 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15921195 0.12051527 0.11031217 0.10623219 0.50372841]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34773558 0.12286334 0.45396244 0.07543864]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32081617 0.24284137 0.22228187 0.2140606  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0974734  0.07399361 0.14287115 0.68566184]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26108675 0.50005635 0.23885689]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.3575488  0.32727791 0.31517329 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10117426 0.52738528 0.25306702 0.11837345]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22877852 0.59067167 0.18054981]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10035358 0.61892021 0.11460126 0.16612495]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78603416 0.09954409 0.11442175]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11334281 0.69902992 0.         0.18762727]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55891201 0.         0.44108799]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16528317 0.33323152 0.23097376 0.27051156]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13545292 0.70606774 0.         0.15847934]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18836432 0.69597915 0.11565653]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41942148 0.28084349 0.10681469 0.19292035]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616329 0.16079744 0.65303928]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11372083 0.08632729 0.         0.79995188]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87292909 0.         0.12707091]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56846739 0.43153261 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53149556 0.         0.46850444 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37659162 0.         0.         0.62340838]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24788689 0.         0.34640774 0.40570537]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67674569 0.32325431]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19757948 0.80242052]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48373041 0.18397974 0.33228985]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20583335 0.34369711 0.45046953]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85750192 0.14249808]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37456222 0.62543778 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3563637 0.6436363]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16096209 0.83903791 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41711111 0.         0.58288889 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15921195 0.12051527 0.11031217 0.10623219 0.50372841]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34773558 0.12286334 0.45396244 0.07543864]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32081617 0.24284137 0.22228187 0.2140606  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10035358 0.61892021 0.11460126 0.16612495]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22877852 0.59067167 0.18054981]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10117426 0.52738528 0.25306702 0.11837345]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.        0.7658911 0.2341089]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16528317 0.33323152 0.23097376 0.27051156]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26334007 0.         0.30072774 0.43593218]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40819453 0.30898231 0.28282316 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0974734  0.07399361 0.14287115 0.68566184]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616329 0.16079744 0.65303928]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41942148 0.28084349 0.10681469 0.19292035]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22657407 0.45680164 0.31662429 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46957946 0.31442914 0.         0.2159914 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18836432 0.69597915 0.11565653]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13545292 0.70606774 0.         0.15847934]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20583335 0.34369711 0.45046953]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59894683 0.40105317 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53655436 0.46344564 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10526213 0.         0.15428743 0.74045044]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78603416 0.09954409 0.11442175]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40555696 0.         0.59444304 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52210114 0.47789886 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4608304 0.        0.        0.5391696]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26108675 0.50005635 0.23885689]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52223236 0.         0.47776764]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.40823144 0.59176856]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46523356 0.53476644]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.59062105 0.40937895 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21299905 0.78700095 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43277707 0.56722293]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
Iteration 6, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16265733 0.13992203 0.10089246 0.11103186 0.48549632]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33366893 0.12947634 0.45746079 0.07939394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20251446 0.32696281 0.47052273]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41983148 0.28579155 0.10183509 0.19254187]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61501348 0.23864881 0.         0.14633771]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31614415 0.27195536 0.19609667 0.21580382 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25674795 0.49409711 0.24915494]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18721592 0.16179673 0.65098735]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51994211 0.35393978 0.12611811 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1546326  0.31121755 0.23610877 0.29804108]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59497984 0.40502016 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53641585 0.46358415 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34194531 0.65805469 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43423732 0.         0.26934704 0.29641564 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09947018 0.59327661 0.13046215 0.17679106]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.36814473 0.27929722 0.35255805]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12083224 0.72068776 0.15847999 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80577632 0.08656098 0.1076627 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14358808 0.85641192 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22770588 0.59206084 0.18023328]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09996562 0.53338064 0.24722191 0.11943182]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40999215 0.59000785]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61988876 0.         0.38011124]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21423376 0.         0.52981495 0.25595128]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61717875 0.         0.38282125 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.67426536 0.32573464]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76662611 0.23337389]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1030375  0.07779617 0.14607501 0.67309131]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88213477 0.         0.11786523]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3151874  0.23797524 0.44683736 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56979155 0.43020845 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.56861427 0.43138573 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16265733 0.13992203 0.10089246 0.11103186 0.48549632]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09947018 0.59327661 0.13046215 0.17679106]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18297319 0.15739825 0.1134939  0.         0.54613466]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09996562 0.53338064 0.24722191 0.11943182]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22770588 0.59206084 0.18023328]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1546326  0.31121755 0.23610877 0.29804108]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27776912 0.72223088 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.6588084  0.14487266 0.19631894]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80577632 0.08656098 0.1076627 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1030375  0.07779617 0.14607501 0.67309131]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44567677 0.55432323]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.77042139 0.         0.22957861]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13279561 0.70854964 0.         0.15865476]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20251446 0.32696281 0.47052273]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41983148 0.28579155 0.10183509 0.19254187]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40999215 0.59000785]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33366893 0.12947634 0.45746079 0.07939394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45563713 0.         0.         0.54436287]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61501348 0.23864881 0.         0.14633771]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58782766 0.         0.14258455 0.26958778]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18721592 0.16179673 0.65098735]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3151874  0.23797524 0.44683736 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25674795 0.49409711 0.24915494]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19906484 0.80093516]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34593431 0.65406569]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22450137 0.         0.3427915  0.43270714]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39574156 0.         0.60425844 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80779211 0.         0.         0.19220789]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20639811 0.17754898 0.         0.         0.61605291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56979155 0.43020845 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34194531 0.65805469 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.2237255 0.        0.        0.7762745]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16265733 0.13992203 0.10089246 0.11103186 0.48549632]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25674795 0.49409711 0.24915494]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18911929 0.         0.11730618 0.12909511 0.56447942]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33366893 0.12947634 0.45746079 0.07939394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20251446 0.32696281 0.47052273]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09996562 0.53338064 0.24722191 0.11943182]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30089639 0.         0.69910361]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41983148 0.28579155 0.10183509 0.19254187]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61501348 0.23864881 0.         0.14633771]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43423732 0.         0.26934704 0.29641564 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21423376 0.         0.52981495 0.25595128]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22770588 0.59206084 0.18023328]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09947018 0.59327661 0.13046215 0.17679106]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1546326  0.31121755 0.23610877 0.29804108]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58782766 0.         0.14258455 0.26958778]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18721592 0.16179673 0.65098735]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34593431 0.65406569]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.36814473 0.27929722 0.35255805]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12083224 0.72068776 0.15847999 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55818587 0.         0.44181413]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.56861427 0.43138573 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80577632 0.08656098 0.1076627 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1030375  0.07779617 0.14607501 0.67309131]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53641585 0.46358415 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66477732 0.33522268]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11172964 0.         0.15839775 0.72987261]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13275825 0.         0.         0.86724175]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44567677 0.55432323]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45563713 0.         0.         0.54436287]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61988876 0.         0.38011124]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59431405 0.         0.         0.40568595 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43260634 0.         0.56739366 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16265733 0.13992203 0.10089246 0.11103186 0.48549632]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1030375  0.07779617 0.14607501 0.67309131]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80577632 0.08656098 0.1076627 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1546326  0.31121755 0.23610877 0.29804108]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90299522 0.09700478 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3151874  0.23797524 0.44683736 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.16710248 0.12049125 0.13260026 0.57980602]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25674795 0.49409711 0.24915494]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34750418 0.65249582 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18721592 0.16179673 0.65098735]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41983148 0.28579155 0.10183509 0.19254187]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53641585 0.46358415 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50750441 0.         0.49249559]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.14466515 0.15920358 0.69613127]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33366893 0.12947634 0.45746079 0.07939394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20251446 0.32696281 0.47052273]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09996562 0.53338064 0.24722191 0.11943182]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30089639 0.         0.69910361]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61501348 0.23864881 0.         0.14633771]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.47607778 0.52392222 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09947018 0.59327661 0.13046215 0.17679106]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22770588 0.59206084 0.18023328]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2445647  0.         0.32076381 0.43467149]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20242751 0.40741082 0.         0.39016167]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49260093 0.17552675 0.33187232]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34593431 0.65406569]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61988876 0.         0.38011124]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.51081353 0.         0.48918647]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43260634 0.         0.56739366 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21423376 0.         0.52981495 0.25595128]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28792975 0.         0.71207025 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55818587 0.         0.44181413]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16265733 0.13992203 0.10089246 0.11103186 0.48549632]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1030375  0.07779617 0.14607501 0.67309131]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80577632 0.08656098 0.1076627 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3151874  0.23797524 0.44683736 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.16710248 0.12049125 0.13260026 0.57980602]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33366893 0.12947634 0.45746079 0.07939394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20251446 0.32696281 0.47052273]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61501348 0.23864881 0.         0.14633771]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.39767936 0.28675148 0.31556916 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25674795 0.49409711 0.24915494]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34750418 0.65249582 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50750441 0.         0.49249559]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.47607778 0.52392222 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09947018 0.59327661 0.13046215 0.17679106]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1546326  0.31121755 0.23610877 0.29804108]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22770588 0.59206084 0.18023328]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12083224 0.72068776 0.15847999 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55818587 0.         0.44181413]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09996562 0.53338064 0.24722191 0.11943182]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.59262252 0.27468052 0.13269696]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38247999 0.61752001 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41983148 0.28579155 0.10183509 0.19254187]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18721592 0.16179673 0.65098735]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49260093 0.17552675 0.33187232]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.67426536 0.32573464]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61988876 0.         0.38011124]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22450137 0.         0.3427915  0.43270714]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43260634 0.         0.56739366 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44567677 0.55432323]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39574156 0.         0.60425844 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34593431 0.65406569]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53641585 0.46358415 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
Iteration 7, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16095418 0.13138346 0.10440091 0.10480591 0.49845555]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25660361 0.51660884 0.22678754]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10243483 0.0724518  0.15543055 0.66968282]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548233 0.16238757 0.6521301 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41765596 0.28902002 0.10235129 0.19097273]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18354203 0.35853018 0.45792779]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58743703 0.         0.14395805 0.26860493]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34173179 0.11442112 0.46196315 0.08188394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43912876 0.56087124]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6351457 0.2126641 0.        0.1521902]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18529946 0.         0.12019217 0.12065843 0.57384994]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58287404 0.         0.41712596]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80317334 0.         0.19682666 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53319454 0.46680546 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11043613 0.         0.1675714  0.72199247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80041301 0.09034671 0.10924028]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3972415 0.        0.6027585 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53084052 0.         0.46915948]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4348221  0.         0.2820419  0.28313601 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09110724 0.5196956  0.26121532 0.12798184]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18968646 0.         0.54385369 0.26645986]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60563714 0.         0.         0.39436286 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10560198 0.60053951 0.12514471 0.16871381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24164812 0.56673805 0.19161383]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26436151 0.         0.31328431 0.42235418]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.42586721 0.57413279]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15266411 0.32431414 0.22787178 0.29514996]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55774138 0.         0.44225862]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22593948 0.         0.33724515 0.43681536]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45266833 0.54733167]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34090959 0.         0.         0.65909041]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.        0.        0.6711645 0.3288355]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16095418 0.13138346 0.10440091 0.10480591 0.49845555]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34173179 0.11442112 0.46196315 0.08188394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18354203 0.35853018 0.45792779]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6351457 0.2126641 0.        0.1521902]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32091708 0.26195775 0.20815884 0.20896634 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09110724 0.5196956  0.26121532 0.12798184]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58287404 0.         0.41712596]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41765596 0.28902002 0.10235129 0.19097273]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548233 0.16238757 0.6521301 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10243483 0.0724518  0.15543055 0.66968282]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80041301 0.09034671 0.10924028]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10560198 0.60053951 0.12514471 0.16871381]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15266411 0.32431414 0.22787178 0.29514996]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24164812 0.56673805 0.19161383]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12703444 0.72242209 0.15054347 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55774138 0.         0.44225862]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22593948 0.         0.33724515 0.43681536]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45765329 0.         0.54234671 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87990998 0.         0.12009002]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31011051 0.21934008 0.4705494  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25660361 0.51660884 0.22678754]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19936653 0.80063347]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4963046  0.17575742 0.32793798]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1044786  0.59596878 0.29955261 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14915982 0.85084018 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33859332 0.66140668 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73848035 0.26151965 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4011819 0.        0.5988181 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40527961 0.33082108 0.         0.26389931 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58572134 0.41427866 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.55626323 0.         0.44373677 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33186689 0.66813311 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16095418 0.13138346 0.10440091 0.10480591 0.49845555]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10243483 0.0724518  0.15543055 0.66968282]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80041301 0.09034671 0.10924028]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31011051 0.21934008 0.4705494  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15658675 0.12442814 0.12491083 0.59407429]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10560198 0.60053951 0.12514471 0.16871381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24164812 0.56673805 0.19161383]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15266411 0.32431414 0.22787178 0.29514996]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45266833 0.54733167]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26436151 0.         0.31328431 0.42235418]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1977186  0.42002628 0.         0.38225512]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45765329 0.         0.54234671 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.17893805 0.1421891  0.         0.67887285]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09110724 0.5196956  0.26121532 0.12798184]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18354203 0.35853018 0.45792779]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41765596 0.28902002 0.10235129 0.19097273]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43912876 0.56087124]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34173179 0.11442112 0.46196315 0.08188394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18968646 0.         0.54385369 0.26645986]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6351457 0.2126641 0.        0.1521902]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.20859848 0.         0.         0.79140152]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58287404 0.         0.41712596]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58743703 0.         0.14395805 0.26860493]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548233 0.16238757 0.6521301 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.        0.3179351 0.6820649 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25660361 0.51660884 0.22678754]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19936653 0.80063347]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34893593 0.65106407]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25859042 0.         0.74140958 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.29892659 0.70107341 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.32006514 0.67993486 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33186689 0.66813311 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16095418 0.13138346 0.10440091 0.10480591 0.49845555]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25660361 0.51660884 0.22678754]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10243483 0.0724518  0.15543055 0.66968282]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80041301 0.09034671 0.10924028]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31011051 0.21934008 0.4705494  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53084052 0.         0.46915948]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18529946 0.         0.12019217 0.12065843 0.57384994]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34173179 0.11442112 0.46196315 0.08188394]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09110724 0.5196956  0.26121532 0.12798184]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24164812 0.56673805 0.19161383]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10560198 0.60053951 0.12514471 0.16871381]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4348221  0.         0.2820419  0.28313601 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12332042 0.70344664 0.         0.17323294]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18354203 0.35853018 0.45792779]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.41584564 0.         0.         0.58415436]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60563714 0.         0.         0.39436286 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.67144548 0.1399206  0.18863392]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55774138 0.         0.44225862]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15266411 0.32431414 0.22787178 0.29514996]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.42586721 0.57413279]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21659091 0.46011794 0.32329115 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37220979 0.12462599 0.50316422 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58572134 0.41427866 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548233 0.16238757 0.6521301 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41765596 0.28902002 0.10235129 0.19097273]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19851535 0.80148465 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2861273 0.        0.7138727]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5162446  0.35724385 0.12651154 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80317334 0.         0.19682666 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53319454 0.46680546 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45266833 0.54733167]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4011819 0.        0.5988181 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16095418 0.13138346 0.10440091 0.10480591 0.49845555]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34173179 0.11442112 0.46196315 0.08188394]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09110724 0.5196956  0.26121532 0.12798184]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18354203 0.35853018 0.45792779]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18968646 0.         0.54385369 0.26645986]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37220979 0.12462599 0.50316422 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41765596 0.28902002 0.10235129 0.19097273]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548233 0.16238757 0.6521301 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10243483 0.0724518  0.15543055 0.66968282]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80041301 0.09034671 0.10924028]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31011051 0.21934008 0.4705494  0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19936653 0.80063347]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25660361 0.51660884 0.22678754]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3972415 0.        0.6027585 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53084052 0.         0.46915948]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32091708 0.26195775 0.20815884 0.20896634 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.38575223 0.30652933 0.30771844 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10560198 0.60053951 0.12514471 0.16871381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24164812 0.56673805 0.19161383]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15266411 0.32431414 0.22787178 0.29514996]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26436151 0.         0.31328431 0.42235418]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21659091 0.46011794 0.32329115 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4963046  0.17575742 0.32793798]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2861273 0.        0.7138727]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42520087 0.         0.57479913 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34893593 0.65106407]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.5572187 0.4427813 0.        0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25859042 0.         0.74140958 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.        0.5873278 0.4126722 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45266833 0.54733167]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.29892659 0.70107341 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45765329 0.         0.54234671 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
Iteration 8, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16342809 0.13055563 0.10092298 0.12421244 0.48088086]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34205968 0.11843534 0.45989963 0.07960535]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1888447  0.35278951 0.45836579]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63332613 0.21928396 0.         0.14738991]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41585431 0.29169367 0.10277877 0.18967324]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18397226 0.16290222 0.65312552]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10169655 0.07253137 0.1624337  0.66333839]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78863406 0.09287678 0.11848916]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3020735  0.21544293 0.48248357 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27526262 0.50215931 0.22257807]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31481808 0.25149454 0.19441198 0.2392754  0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09811704 0.51879168 0.26022538 0.12286589]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81121188 0.         0.         0.18878812]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3907929  0.31218754 0.         0.29701956 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58369837 0.41630163 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.51244895 0.         0.48755105 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09572435 0.6170574  0.12259295 0.16462529]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15328283 0.34347731 0.22455284 0.27868703]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2341489  0.57951715 0.18633395]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11458852 0.73865943 0.14675205 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55685719 0.         0.44314281]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11186093 0.59146222 0.29667685 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34865726 0.65134274 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27380805 0.         0.72619195 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23347681 0.         0.34203362 0.42448956]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43846434 0.         0.56153566 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69288452 0.30711548]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19962829 0.80037171]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4993509  0.17594716 0.32470195]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73945259 0.26054741 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4056865 0.        0.5943135 0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.43941223 0.56058777]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16342809 0.13055563 0.10092298 0.12421244 0.48088086]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34205968 0.11843534 0.45989963 0.07960535]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31481808 0.25149454 0.19441198 0.2392754  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10169655 0.07253137 0.1624337  0.66333839]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78863406 0.09287678 0.11848916]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3020735  0.21544293 0.48248357 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27526262 0.50215931 0.22257807]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58369837 0.41630163 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18397226 0.16290222 0.65312552]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41585431 0.29169367 0.10277877 0.18967324]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15328283 0.34347731 0.22455284 0.27868703]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46349139 0.32510786 0.         0.21140075]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1888447  0.35278951 0.45836579]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18000925 0.69899901 0.12099174]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34865726 0.65134274 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09811704 0.51879168 0.26022538 0.12286589]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36704784 0.28373776 0.3492144  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55291306 0.         0.44708694]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.44827678 0.55172322 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.57523172 0.28853565 0.13623264]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59803541 0.         0.40196459]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.66595676 0.33404324 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68676365 0.         0.         0.31323635]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53037127 0.46962873 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09572435 0.6170574  0.12259295 0.16462529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2341489  0.57951715 0.18633395]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2499705  0.         0.32013402 0.42989548]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.43941223 0.56058777]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.40565766 0.26520406 0.32913827]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55685719 0.         0.44314281]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.44621432 0.55378568]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36767614 0.         0.         0.63232386]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16342809 0.13055563 0.10092298 0.12421244 0.48088086]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09811704 0.51879168 0.26022538 0.12286589]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34205968 0.11843534 0.45989963 0.07960535]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41585431 0.29169367 0.10277877 0.18967324]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18397226 0.16290222 0.65312552]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4993509  0.17594716 0.32470195]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1888447  0.35278951 0.45836579]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38801428 0.         0.52168565 0.09030006]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11186093 0.59146222 0.29667685 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2341489  0.57951715 0.18633395]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09572435 0.6170574  0.12259295 0.16462529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55685719 0.         0.44314281]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15904628 0.84095372 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34865726 0.65134274 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18177318 0.14521073 0.         0.1381555  0.53486059]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2499705  0.         0.32013402 0.42989548]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15328283 0.34347731 0.22455284 0.27868703]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78863406 0.09287678 0.11848916]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10169655 0.07253137 0.1624337  0.66333839]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.43941223 0.56058777]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43846434 0.         0.56153566 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19767024 0.44294096 0.         0.3593888 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21091181 0.16848832 0.         0.         0.62059988]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27526262 0.50215931 0.22257807]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53037127 0.46962873 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35407107 0.64592893 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3020735  0.21544293 0.48248357 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25364864 0.         0.         0.         0.74635136]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42652996 0.         0.57347004 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35143808 0.64856192]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58369837 0.41630163 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.30856507 0.69143493 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16342809 0.13055563 0.10092298 0.12421244 0.48088086]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27526262 0.50215931 0.22257807]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18397226 0.16290222 0.65312552]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41585431 0.29169367 0.10277877 0.18967324]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53037127 0.46962873 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35407107 0.64592893 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10169655 0.07253137 0.1624337  0.66333839]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18796843 0.         0.11607756 0.14286416 0.55308986]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34205968 0.11843534 0.45989963 0.07960535]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42059557 0.         0.25973355 0.31967088 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09811704 0.51879168 0.26022538 0.12286589]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18000925 0.69899901 0.12099174]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1888447  0.35278951 0.45836579]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11186093 0.59146222 0.29667685 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29178251 0.         0.70821749]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4993509  0.17594716 0.32470195]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59803541 0.         0.40196459]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27380805 0.         0.72619195 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2341489  0.57951715 0.18633395]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09572435 0.6170574  0.12259295 0.16462529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55685719 0.         0.44314281]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56816781 0.         0.         0.43183219 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1214191  0.08659776 0.         0.79198314]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78863406 0.09287678 0.11848916]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2499705  0.         0.32013402 0.42989548]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15328283 0.34347731 0.22455284 0.27868703]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8693792 0.        0.1306208]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58369837 0.41630163 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43846434 0.         0.56153566 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19767024 0.44294096 0.         0.3593888 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35484612 0.         0.         0.64515388]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35143808 0.64856192]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16342809 0.13055563 0.10092298 0.12421244 0.48088086]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34205968 0.11843534 0.45989963 0.07960535]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1888447  0.35278951 0.45836579]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63332613 0.21928396 0.         0.14738991]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41585431 0.29169367 0.10277877 0.18967324]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81121188 0.         0.         0.18878812]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31481808 0.25149454 0.19441198 0.2392754  0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09811704 0.51879168 0.26022538 0.12286589]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11186093 0.59146222 0.29667685 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34865726 0.65134274 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27380805 0.         0.72619195 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2341489  0.57951715 0.18633395]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15328283 0.34347731 0.22455284 0.27868703]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51319336 0.35997043 0.12683621 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18397226 0.16290222 0.65312552]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27526262 0.50215931 0.22257807]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3907929  0.31218754 0.         0.29701956 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69288452 0.30711548]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10169655 0.07253137 0.1624337  0.66333839]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56816781 0.         0.         0.43183219 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09572435 0.6170574  0.12259295 0.16462529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28777027 0.71222973 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2499705  0.         0.32013402 0.42989548]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78863406 0.09287678 0.11848916]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.40565766 0.26520406 0.32913827]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08074261 0.18082275 0.73843464]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8946391 0.1053609 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.      0.30869 0.69131 0.     ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21977392 0.         0.78022608]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73945259 0.26054741 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.44621432 0.55378568]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36767614 0.         0.         0.63232386]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 9, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16221735 0.11988316 0.11342227 0.10983845 0.49463877]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33602297 0.12726932 0.44519549 0.09151222]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16893394 0.34225923 0.48880683]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60566013 0.22939489 0.         0.16494498]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32099286 0.23722271 0.22443802 0.21734642 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26752442 0.49475821 0.23771737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.097059   0.07478836 0.14904564 0.679107  ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7877769  0.09643926 0.11578384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30246529 0.23306324 0.46447147 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42082121 0.         0.29423794 0.28494086 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33412422 0.66587578 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52949781 0.         0.47050219]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18308337 0.16320517 0.65371147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39180219 0.2950084  0.09730205 0.21588737]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52870178 0.47129822 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50802609 0.49197391 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09773714 0.53692676 0.25454888 0.11078722]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33046988 0.66953012 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21106196 0.         0.54969464 0.2392434 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24994578 0.57413822 0.175916  ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46870852 0.         0.         0.53129148]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58171874 0.         0.41828126]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48505337 0.15998421 0.35496242]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31068115 0.68931885]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08252053 0.66727564 0.10251687 0.14768697]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76546229 0.23453771]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24801468 0.         0.3081135  0.44387183]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1610215  0.31826207 0.24350235 0.27721408]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.40973339 0.59026661]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45442395 0.54557605]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22277896 0.44032688 0.33689416 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.56654009 0.43345991 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16221735 0.11988316 0.11342227 0.10983845 0.49463877]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33602297 0.12726932 0.44519549 0.09151222]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16893394 0.34225923 0.48880683]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09773714 0.53692676 0.25454888 0.11078722]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24994578 0.57413822 0.175916  ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13111141 0.72027091 0.         0.14861768]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32099286 0.23722271 0.22443802 0.21734642 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.82895658 0.         0.17104342]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2568397 0.        0.7431603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60566013 0.22939489 0.         0.16494498]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39180219 0.2950084  0.09730205 0.21588737]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18308337 0.16320517 0.65371147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48505337 0.15998421 0.35496242]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31068115 0.68931885]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1610215  0.31826207 0.24350235 0.27721408]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08252053 0.66727564 0.10251687 0.14768697]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41388421 0.30587201 0.         0.28024377 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26752442 0.49475821 0.23771737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.097059   0.07478836 0.14904564 0.679107  ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52949781 0.         0.47050219]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52870178 0.47129822 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11405899 0.08788763 0.         0.79805338]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7877769  0.09643926 0.11578384]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.72729217 0.1117375  0.16097033]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87185826 0.         0.12814174]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56479772 0.43520228 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59626498 0.         0.         0.40373502 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.81878068 0.         0.18121932]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76546229 0.23453771]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22277896 0.44032688 0.33689416 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3359629 0.6640371 0.        0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.78595395 0.         0.         0.21404605]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16221735 0.11988316 0.11342227 0.10983845 0.49463877]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33602297 0.12726932 0.44519549 0.09151222]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39180219 0.2950084  0.09730205 0.21588737]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18308337 0.16320517 0.65371147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48505337 0.15998421 0.35496242]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1610215  0.31826207 0.24350235 0.27721408]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24994578 0.57413822 0.175916  ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08252053 0.66727564 0.10251687 0.14768697]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23619266 0.         0.35717882 0.40662851]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7877769  0.09643926 0.11578384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.097059   0.07478836 0.14904564 0.679107  ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45442395 0.54557605]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36743137 0.         0.         0.63256863]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0968195  0.78289973 0.12028077 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11005728 0.88994272 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58691762 0.         0.41308238]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09773714 0.53692676 0.25454888 0.11078722]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32099286 0.23722271 0.22443802 0.21734642 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30246529 0.23306324 0.46447147 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34936703 0.33053852 0.32009445 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.59508907 0.28212275 0.12278818]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16893394 0.34225923 0.48880683]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69675261 0.30324739]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.57743363 0.         0.42256637]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2568397 0.        0.7431603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38502481 0.         0.51011785 0.10485734]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.78595395 0.         0.         0.21404605]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52186278 0.         0.47813722 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26752442 0.49475821 0.23771737]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33412422 0.66587578 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67546035 0.32453965]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52870178 0.47129822 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16221735 0.11988316 0.11342227 0.10983845 0.49463877]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.097059   0.07478836 0.14904564 0.679107  ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7877769  0.09643926 0.11578384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30246529 0.23306324 0.46447147 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18308337 0.16320517 0.65371147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39180219 0.2950084  0.09730205 0.21588737]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16893394 0.34225923 0.48880683]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09773714 0.53692676 0.25454888 0.11078722]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2568397 0.        0.7431603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33602297 0.12726932 0.44519549 0.09151222]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14309577 0.13538389 0.13110614 0.5904142 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19167729 0.67049833 0.13782437]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5557544  0.         0.13801873 0.30622686]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52870178 0.47129822 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26752442 0.49475821 0.23771737]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39438101 0.         0.60561899 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34936703 0.33053852 0.32009445 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35095175 0.64904825 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50802609 0.49197391 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21106196 0.         0.54969464 0.2392434 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58171874 0.         0.41828126]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31068115 0.68931885]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27743691 0.         0.72256309 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24994578 0.57413822 0.175916  ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08252053 0.66727564 0.10251687 0.14768697]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58691762 0.         0.41308238]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24801468 0.         0.3081135  0.44387183]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1610215  0.31826207 0.24350235 0.27721408]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.37934472 0.2902367  0.33041858]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44596676 0.         0.55403324 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.56654009 0.43345991 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45442395 0.54557605]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16221735 0.11988316 0.11342227 0.10983845 0.49463877]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.097059   0.07478836 0.14904564 0.679107  ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7877769  0.09643926 0.11578384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30246529 0.23306324 0.46447147 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14309577 0.13538389 0.13110614 0.5904142 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26752442 0.49475821 0.23771737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33412422 0.66587578 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18308337 0.16320517 0.65371147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39180219 0.2950084  0.09730205 0.21588737]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33602297 0.12726932 0.44519549 0.09151222]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.15799185 0.15299976 0.68900839]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19167729 0.67049833 0.13782437]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4996759  0.37623217 0.12409193 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52870178 0.47129822 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52949781 0.         0.47050219]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50802609 0.49197391 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09773714 0.53692676 0.25454888 0.11078722]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24994578 0.57413822 0.175916  ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1610215  0.31826207 0.24350235 0.27721408]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.75197691 0.24802309 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16893394 0.34225923 0.48880683]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.82949338 0.17050662]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33046988 0.66953012 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13111141 0.72027091 0.         0.14861768]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.37934472 0.2902367  0.33041858]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.30330134 0.69669866 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08252053 0.66727564 0.10251687 0.14768697]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46870852 0.         0.         0.53129148]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24801468 0.         0.3081135  0.44387183]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45442395 0.54557605]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.3584615 0.        0.        0.6415385]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46762947 0.53237053]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 10, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17806998 0.10771309 0.11669371 0.11245417 0.48506907]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33339073 0.13386505 0.44291871 0.08982551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34581332 0.20917968 0.22662011 0.21838689 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09740789 0.5044788  0.28242575 0.11568756]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23754283 0.58502395 0.17743322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1018621  0.63298734 0.10597748 0.15917308]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5724254 0.        0.4275746]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13574608 0.70303359 0.         0.16122033]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18053084 0.3430952  0.47637397]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20081486 0.66443527 0.13474987]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34477055 0.65522945 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4053226  0.27365216 0.10100491 0.22002032]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4571092 0.        0.        0.5428908]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44714548 0.27047468 0.         0.28237984 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09924899 0.07995304 0.14962601 0.67117195]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79538286 0.09814422 0.10647291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30182643 0.24314545 0.45502813 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26182288 0.48889674 0.24928038]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55383854 0.44616146 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16604248 0.13675408 0.69720344]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55802824 0.         0.1390586  0.30291316]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54836317 0.45163683 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.       0.489233 0.       0.510767 0.      ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27754383 0.         0.28875702 0.43369916]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47964812 0.52035188]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39022364 0.         0.         0.60977636]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51227003 0.         0.48772997]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59843853 0.         0.40156147]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15495691 0.33544441 0.24669835 0.26290033]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20570367 0.44529891 0.         0.34899742]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37083697 0.         0.         0.62916303]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31463232 0.68536768]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17806998 0.10771309 0.11669371 0.11245417 0.48506907]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09924899 0.07995304 0.14962601 0.67117195]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79538286 0.09814422 0.10647291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30182643 0.24314545 0.45502813 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26182288 0.48889674 0.24928038]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55383854 0.44616146 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16604248 0.13675408 0.69720344]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51227003 0.         0.48772997]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13104897 0.14197523 0.1368172  0.59015859]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33339073 0.13386505 0.44291871 0.08982551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.31975533 0.34641505 0.33382962 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09740789 0.5044788  0.28242575 0.11568756]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23754283 0.58502395 0.17743322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1018621  0.63298734 0.10597748 0.15917308]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15495691 0.33544441 0.24669835 0.26290033]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47964812 0.52035188]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12114514 0.75281526 0.12603959 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.       0.489233 0.       0.510767 0.      ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.85658657 0.14341343 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5724254 0.        0.4275746]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13574608 0.70303359 0.         0.16122033]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18053084 0.3430952  0.47637397]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20081486 0.66443527 0.13474987]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4053226  0.27365216 0.10100491 0.22002032]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19234667 0.         0.80765333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.46016909 0.16984825 0.36998266]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34477055 0.65522945 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4571092 0.        0.        0.5428908]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20570367 0.44529891 0.         0.34899742]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31597981 0.68402019 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31463232 0.68536768]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.83139093 0.16860907]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17806998 0.10771309 0.11669371 0.11245417 0.48506907]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33339073 0.13386505 0.44291871 0.08982551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34581332 0.20917968 0.22662011 0.21838689 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09924899 0.07995304 0.14962601 0.67117195]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79538286 0.09814422 0.10647291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30182643 0.24314545 0.45502813 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.31975533 0.34641505 0.33382962 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09740789 0.5044788  0.28242575 0.11568756]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.       0.489233 0.       0.510767 0.      ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26182288 0.48889674 0.24928038]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34825931 0.65174069 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51227003 0.         0.48772997]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16604248 0.13675408 0.69720344]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4053226  0.27365216 0.10100491 0.22002032]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18053084 0.3430952  0.47637397]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.55892223 0.31290519 0.12817258]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23754283 0.58502395 0.17743322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1018621  0.63298734 0.10597748 0.15917308]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5724254 0.        0.4275746]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.81345721 0.         0.18654279]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2748204 0.        0.7251796]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20081486 0.66443527 0.13474987]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55802824 0.         0.1390586  0.30291316]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59843853 0.         0.40156147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80051467 0.         0.19948533 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54836317 0.45163683 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27754383 0.         0.28875702 0.43369916]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.39968794 0.60031206]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47964812 0.52035188]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15495691 0.33544441 0.24669835 0.26290033]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21022518 0.4550869  0.33468791 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31597981 0.68402019 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17806998 0.10771309 0.11669371 0.11245417 0.48506907]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33339073 0.13386505 0.44291871 0.08982551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34581332 0.20917968 0.22662011 0.21838689 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26182288 0.48889674 0.24928038]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43728431 0.         0.28656334 0.27615235 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09740789 0.5044788  0.28242575 0.11568756]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23754283 0.58502395 0.17743322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1018621  0.63298734 0.10597748 0.15917308]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5724254 0.        0.4275746]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13574608 0.70303359 0.         0.16122033]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18053084 0.3430952  0.47637397]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4571092 0.        0.        0.5428908]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61292661 0.         0.         0.38707339 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09924899 0.07995304 0.14962601 0.67117195]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66230275 0.33769725]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11671217 0.09402103 0.         0.78926679]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16604248 0.13675408 0.69720344]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4053226  0.27365216 0.10100491 0.22002032]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54836317 0.45163683 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12882437 0.         0.         0.87117563]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79538286 0.09814422 0.10647291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27754383 0.         0.28875702 0.43369916]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15495691 0.33544441 0.24669835 0.26290033]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49009962 0.         0.50990038 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47964812 0.52035188]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21022518 0.4550869  0.33468791 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20081486 0.66443527 0.13474987]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2748204 0.        0.7251796]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.46016909 0.16984825 0.36998266]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59843853 0.         0.40156147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73040703 0.26959297 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31597981 0.68402019 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17806998 0.10771309 0.11669371 0.11245417 0.48506907]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1018621  0.63298734 0.10597748 0.15917308]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23754283 0.58502395 0.17743322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27754383 0.         0.28875702 0.43369916]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15495691 0.33544441 0.24669835 0.26290033]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4053226  0.27365216 0.10100491 0.22002032]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16604248 0.13675408 0.69720344]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.46016909 0.16984825 0.36998266]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18053084 0.3430952  0.47637397]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09740789 0.5044788  0.28242575 0.11568756]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2748204 0.        0.7251796]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31463232 0.68536768]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33339073 0.13386505 0.44291871 0.08982551]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39695539 0.29193582 0.31110879]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79538286 0.09814422 0.10647291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09924899 0.07995304 0.14962601 0.67117195]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47964812 0.52035188]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49009962 0.         0.50990038 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20063187 0.12136059 0.13147908 0.         0.54652847]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38491777 0.         0.51137379 0.10370845]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.78775505 0.         0.         0.21224495]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44243542 0.2676256  0.28993899 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30182643 0.24314545 0.45502813 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47999031 0.52000969 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19657664 0.         0.56995695 0.23346642]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5724254 0.        0.4275746]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4571092 0.        0.        0.5428908]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26182288 0.48889674 0.24928038]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54836317 0.45163683 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34876254 0.65123746 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34825931 0.65174069 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.56062063 0.         0.43937937]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 11, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16546114 0.122008   0.12687186 0.12924442 0.45641458]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32854909 0.14699202 0.43723231 0.08722658]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30438848 0.22445046 0.23339821 0.23776285 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2581704  0.48456371 0.25726589]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09422393 0.07712907 0.13948637 0.68916063]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75410021 0.12553504 0.12036475]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30312738 0.24813161 0.448741   0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50087742 0.         0.49912258]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39248103 0.         0.30094558 0.30657339 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09745247 0.63721589 0.12950299 0.13582866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21389617 0.62492138 0.16118245]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26862387 0.         0.35696983 0.3744063 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18346252 0.30984391 0.23993902 0.26675455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51051302 0.48948698]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.4293903 0.        0.5706097 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24137868 0.40765665 0.         0.35096467]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56600226 0.         0.43399774 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.54988197 0.45011803 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09479975 0.50879743 0.27228641 0.12411641]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17219263 0.36625619 0.46155118]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21891701 0.65117539 0.1299076 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31979386 0.68020614 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259734  0.24796042 0.09551867 0.23054751]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62758476 0.         0.37241524]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55360585 0.32225565 0.12413849 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19299523 0.         0.55432611 0.25267866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.57027022 0.         0.42972978]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37190377 0.62809623 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43304137 0.         0.         0.56695863]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1794617  0.13943033 0.68110797]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.81683581 0.         0.18316419 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56276634 0.43723366 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16546114 0.122008   0.12687186 0.12924442 0.45641458]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2581704  0.48456371 0.25726589]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09422393 0.07712907 0.13948637 0.68916063]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75410021 0.12553504 0.12036475]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30312738 0.24813161 0.448741   0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18845404 0.         0.1445023  0.14720456 0.5198391 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32854909 0.14699202 0.43723231 0.08722658]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09479975 0.50879743 0.27228641 0.12411641]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17219263 0.36625619 0.46155118]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35994594 0.1610389  0.47901516 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31979386 0.68020614 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259734  0.24796042 0.09551867 0.23054751]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19299523 0.         0.55432611 0.25267866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21389617 0.62492138 0.16118245]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18346252 0.30984391 0.23993902 0.26675455]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25499725 0.74500275 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09745247 0.63721589 0.12950299 0.13582866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43304137 0.         0.         0.56695863]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39248103 0.         0.30094558 0.30657339 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26862387 0.         0.35696983 0.3744063 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56600226 0.         0.43399774 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.69089523 0.30910477 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35606452 0.64393548 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1794617  0.13943033 0.68110797]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56642418 0.         0.12701283 0.306563  ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56276634 0.43723366 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50087742 0.         0.49912258]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51051302 0.48948698]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26582758 0.         0.34765906 0.38651336]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.29294259 0.70705741]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.47353871 0.52646129]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.48807969 0.51192031]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16546114 0.122008   0.12687186 0.12924442 0.45641458]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32854909 0.14699202 0.43723231 0.08722658]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30438848 0.22445046 0.23339821 0.23776285 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09745247 0.63721589 0.12950299 0.13582866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21389617 0.62492138 0.16118245]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18346252 0.30984391 0.23993902 0.26675455]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26862387 0.         0.35696983 0.3744063 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25020615 0.42256507 0.32722878 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25499725 0.74500275 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.4293903 0.        0.5706097 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75410021 0.12553504 0.12036475]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09422393 0.07712907 0.13948637 0.68916063]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51051302 0.48948698]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43330622 0.         0.56669378 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259734  0.24796042 0.09551867 0.23054751]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1794617  0.13943033 0.68110797]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.43196677 0.16640113 0.4016321 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17219263 0.36625619 0.46155118]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09479975 0.50879743 0.27228641 0.12411641]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13027069 0.69917263 0.         0.17055667]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39933567 0.29446276 0.30620156 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30312738 0.24813161 0.448741   0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2581704  0.48456371 0.25726589]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.54988197 0.45011803 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.49022849 0.50977151 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.80389683 0.         0.19610317]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.271707 0.       0.728293]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21891701 0.65117539 0.1299076 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.29294259 0.70705741]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62758476 0.         0.37241524]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50087742 0.         0.49912258]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56276634 0.43723366 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16546114 0.122008   0.12687186 0.12924442 0.45641458]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32854909 0.14699202 0.43723231 0.08722658]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259734  0.24796042 0.09551867 0.23054751]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38516532 0.         0.51257705 0.10225763]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30438848 0.22445046 0.23339821 0.23776285 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2581704  0.48456371 0.25726589]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39248103 0.         0.30094558 0.30657339 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09422393 0.07712907 0.13948637 0.68916063]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.        0.4953682 0.5046318 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09745247 0.63721589 0.12950299 0.13582866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21389617 0.62492138 0.16118245]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18346252 0.30984391 0.23993902 0.26675455]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26862387 0.         0.35696983 0.3744063 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09479975 0.50879743 0.27228641 0.12411641]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17219263 0.36625619 0.46155118]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19299523 0.         0.55432611 0.25267866]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.83368272 0.16631728]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.271707 0.       0.728293]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68689322 0.31310678]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55360585 0.32225565 0.12413849 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25499725 0.74500275 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.48807969 0.51192031]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75410021 0.12553504 0.12036475]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25020615 0.42256507 0.32722878 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86235612 0.         0.13764388]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08515248 0.15399653 0.760851  ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37190377 0.62809623 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.65320082 0.34679918]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1794617  0.13943033 0.68110797]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.81683581 0.         0.18316419 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56276634 0.43723366 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35606452 0.64393548 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16546114 0.122008   0.12687186 0.12924442 0.45641458]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32854909 0.14699202 0.43723231 0.08722658]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30438848 0.22445046 0.23339821 0.23776285 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2581704  0.48456371 0.25726589]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1794617  0.13943033 0.68110797]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09422393 0.07712907 0.13948637 0.68916063]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39248103 0.         0.30094558 0.30657339 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09745247 0.63721589 0.12950299 0.13582866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21389617 0.62492138 0.16118245]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09479975 0.50879743 0.27228641 0.12411641]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17219263 0.36625619 0.46155118]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21891701 0.65117539 0.1299076 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31979386 0.68020614 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259734  0.24796042 0.09551867 0.23054751]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.16992544 0.83007456]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.43196677 0.16640113 0.4016321 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18346252 0.30984391 0.23993902 0.26675455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75410021 0.12553504 0.12036475]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08515248 0.15399653 0.760851  ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34759465 0.65240535 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.10065263 0.         0.89934737]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51051302 0.48948698]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26862387 0.         0.35696983 0.3744063 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24137868 0.40765665 0.         0.35096467]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41774691 0.         0.         0.58225309]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37190377 0.62809623 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51819501 0.         0.48180499]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19299523 0.         0.55432611 0.25267866]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56600226 0.         0.43399774 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68689322 0.31310678]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62758476 0.         0.37241524]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.79496035 0.20503965]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
Iteration 12, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16374544 0.11412719 0.09972983 0.12995244 0.4924451 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1056379  0.50587148 0.26319303 0.12529759]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21897658 0.61114858 0.16987484]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10217717 0.62524752 0.1405722  0.13200311]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16073387 0.34967885 0.21852343 0.27106386]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41656811 0.26624217 0.10731115 0.20987857]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17814144 0.34660127 0.47525729]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56771879 0.         0.14624872 0.28603248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.41664835 0.26037441 0.32297724]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56313689 0.         0.43686311]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.44634212 0.55365788]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79961458 0.09172449 0.10866093]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11771605 0.72033383 0.16195012 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14337256 0.68657261 0.         0.17005484]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.42172861 0.57827139]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33617616 0.12946232 0.44779815 0.08656337]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45743467 0.         0.         0.54256533]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18188478 0.12676993 0.         0.14434827 0.54699702]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42091631 0.         0.57908369 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2125687 0.148156  0.        0.        0.6392753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60879216 0.23444746 0.         0.15676038]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58928236 0.41071764 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26148126 0.49247225 0.24604648]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09325547 0.09038747 0.12535855 0.69099851]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88036567 0.         0.11963433]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30179617 0.29251468 0.40568915 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20493601 0.16090641 0.63415758]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42657588 0.         0.57342412 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51520585 0.         0.48479415]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.20238171 0.79761829]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.5992913 0.        0.4007087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.66496978 0.         0.         0.33503022]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16374544 0.11412719 0.09972983 0.12995244 0.4924451 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1056379  0.50587148 0.26319303 0.12529759]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21897658 0.61114858 0.16987484]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14337256 0.68657261 0.         0.17005484]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17814144 0.34660127 0.47525729]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33617616 0.12946232 0.44779815 0.08656337]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18188478 0.12676993 0.         0.14434827 0.54699702]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10217717 0.62524752 0.1405722  0.13200311]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78249712 0.21750288]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16073387 0.34967885 0.21852343 0.27106386]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27265241 0.         0.37510679 0.3522408 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22050473 0.47971123 0.29978405 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79961458 0.09172449 0.10866093]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09325547 0.09038747 0.12535855 0.69099851]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45774035 0.54225965]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3149096 0.6850904 0.        0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42091631 0.         0.57908369 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2125687 0.148156  0.        0.        0.6392753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19502511 0.67457376 0.13040112]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41656811 0.26624217 0.10731115 0.20987857]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20493601 0.16090641 0.63415758]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.45633805 0.18393089 0.35973106]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3394834 0.6605166 0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45743467 0.         0.         0.54256533]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.83800597 0.16199403]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58928236 0.41071764 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30179617 0.29251468 0.40568915 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56017563 0.43982437 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26148126 0.49247225 0.24604648]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66683786 0.33316214]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42657588 0.         0.57342412 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33831849 0.66168151]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16374544 0.11412719 0.09972983 0.12995244 0.4924451 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1056379  0.50587148 0.26319303 0.12529759]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21897658 0.61114858 0.16987484]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14337256 0.68657261 0.         0.17005484]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17814144 0.34660127 0.47525729]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33617616 0.12946232 0.44779815 0.08656337]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3394834 0.6605166 0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45743467 0.         0.         0.54256533]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60879216 0.23444746 0.         0.15676038]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18188478 0.12676993 0.         0.14434827 0.54699702]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.5992913 0.        0.4007087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41656811 0.26624217 0.10731115 0.20987857]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40150901 0.27984349 0.         0.31864751 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09325547 0.09038747 0.12535855 0.69099851]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79961458 0.09172449 0.10866093]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30179617 0.29251468 0.40568915 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20493601 0.16090641 0.63415758]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52722037 0.33696362 0.13581602 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79516054 0.         0.20483946 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56017563 0.43982437 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26148126 0.49247225 0.24604648]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42657588 0.         0.57342412 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46758178 0.         0.53241822 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10217717 0.62524752 0.1405722  0.13200311]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78249712 0.21750288]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27265241 0.         0.37510679 0.3522408 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51520585 0.         0.48479415]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.51571875 0.48428125]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45774035 0.54225965]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16073387 0.34967885 0.21852343 0.27106386]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.41664835 0.26037441 0.32297724]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.61541262 0.38458738 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16374544 0.11412719 0.09972983 0.12995244 0.4924451 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33617616 0.12946232 0.44779815 0.08656337]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41656811 0.26624217 0.10731115 0.20987857]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16073387 0.34967885 0.21852343 0.27106386]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21897658 0.61114858 0.16987484]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1056379  0.50587148 0.26319303 0.12529759]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17814144 0.34660127 0.47525729]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21378628 0.         0.53264084 0.25357288]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78249712 0.21750288]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10217717 0.62524752 0.1405722  0.13200311]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24716075 0.         0.33602387 0.41681538]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46664424 0.29824745 0.         0.23510831]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27263818 0.         0.72736182]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38617071 0.         0.51439261 0.09943668]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45743467 0.         0.         0.54256533]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42881017 0.         0.57118983 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32261621 0.22485684 0.19649073 0.25603623 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11771605 0.72033383 0.16195012 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.44634212 0.55365788]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79961458 0.09172449 0.10866093]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09325547 0.09038747 0.12535855 0.69099851]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45774035 0.54225965]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42091631 0.         0.57908369 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43364505 0.30224165 0.2641133  0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30179617 0.29251468 0.40568915 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53366118 0.46633882 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26148126 0.49247225 0.24604648]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20493601 0.16090641 0.63415758]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.66496978 0.         0.         0.33503022]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56017563 0.43982437 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34681351 0.65318649 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.41895313 0.58104687 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16374544 0.11412719 0.09972983 0.12995244 0.4924451 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33617616 0.12946232 0.44779815 0.08656337]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32261621 0.22485684 0.19649073 0.25603623 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1056379  0.50587148 0.26319303 0.12529759]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17814144 0.34660127 0.47525729]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19502511 0.67457376 0.13040112]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21378628 0.         0.53264084 0.25357288]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21897658 0.61114858 0.16987484]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16073387 0.34967885 0.21852343 0.27106386]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10217717 0.62524752 0.1405722  0.13200311]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79961458 0.09172449 0.10866093]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22050473 0.47971123 0.29978405 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26378743 0.73621257 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45743467 0.         0.         0.54256533]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40150901 0.27984349 0.         0.31864751 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09325547 0.09038747 0.12535855 0.69099851]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8970936 0.1029064 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11888976 0.72751606 0.         0.15359418]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43631841 0.         0.         0.56368159]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4238122 0.        0.5761878 0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41656811 0.26624217 0.10731115 0.20987857]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20493601 0.16090641 0.63415758]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30179617 0.29251468 0.40568915 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.20238171 0.79761829]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.45633805 0.18393089 0.35973106]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42657588 0.         0.57342412 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46758178 0.         0.53241822 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26148126 0.49247225 0.24604648]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51520585 0.         0.48479415]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.55919045 0.         0.44080955]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.2242702 0.7757298 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3394834 0.6605166 0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
Iteration 13, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13011232 0.10165876 0.09690866 0.11463125 0.55668901]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36690507 0.10752082 0.44542234 0.08015177]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20390798 0.32070995 0.47538208]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11677987 0.49071811 0.28653379 0.10596823]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30017807 0.         0.69982193]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.66159367 0.19387875 0.         0.14452758]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29350124 0.22931703 0.21860197 0.25857976 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10295776 0.08762001 0.14542737 0.66399485]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27104156 0.4667938  0.26216464]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32458235 0.30941593 0.36600172 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09687556 0.63849306 0.14423568 0.12039569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20020057 0.61666786 0.18313157]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795916 0.35143574 0.22583825 0.26476685]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26797706 0.         0.39898454 0.33303841]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.51196093 0.48803907 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.64035722 0.35964278]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12047865 0.1025308  0.         0.77699055]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79056089 0.10307435 0.10636477]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21484227 0.47799224 0.30716549 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88465725 0.11534275 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.54024013 0.45975987 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22930301 0.         0.56262316 0.20807383]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.245083 0.754917 0.      ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.52426875 0.         0.         0.47573125]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57291703 0.         0.42708297]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42555869 0.26703276 0.11615538 0.19125317]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58059715 0.         0.15847281 0.26093004]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18320561 0.15207932 0.66471507]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.18619045 0.81380955]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37785344 0.62214656]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.54504376 0.45495624]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31009175 0.68990825 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13011232 0.10165876 0.09690866 0.11463125 0.55668901]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36690507 0.10752082 0.44542234 0.08015177]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29350124 0.22931703 0.21860197 0.25857976 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10295776 0.08762001 0.14542737 0.66399485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79056089 0.10307435 0.10636477]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30641721 0.26076985 0.43281294 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32458235 0.30941593 0.36600172 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11677987 0.49071811 0.28653379 0.10596823]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20390798 0.32070995 0.47538208]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42555869 0.26703276 0.11615538 0.19125317]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18320561 0.15207932 0.66471507]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.46485647 0.20220583 0.3329377 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40285537 0.59714463]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16983365 0.70356327 0.12660308]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22930301 0.         0.56262316 0.20807383]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20020057 0.61666786 0.18313157]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09687556 0.63849306 0.14423568 0.12039569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52226398 0.         0.47773602]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.52426875 0.         0.         0.47573125]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57291703 0.         0.42708297]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37785344 0.62214656]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47001134 0.         0.52998866 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27104156 0.4667938  0.26216464]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.37597509 0.62402491 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50832409 0.         0.49167591]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26797706 0.         0.39898454 0.33303841]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795916 0.35143574 0.22583825 0.26476685]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49214468 0.50785532]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20403896 0.45395648 0.         0.34200456]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37366794 0.         0.         0.62633206]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40178784 0.         0.59821216 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54641767 0.45358233 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13011232 0.10165876 0.09690866 0.11463125 0.55668901]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36690507 0.10752082 0.44542234 0.08015177]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29350124 0.22931703 0.21860197 0.25857976 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27104156 0.4667938  0.26216464]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10295776 0.08762001 0.14542737 0.66399485]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38083265 0.         0.28364708 0.33552027 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09687556 0.63849306 0.14423568 0.12039569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20020057 0.61666786 0.18313157]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11677987 0.49071811 0.28653379 0.10596823]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20390798 0.32070995 0.47538208]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42555869 0.26703276 0.11615538 0.19125317]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40285537 0.59714463]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16983365 0.70356327 0.12660308]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22930301 0.         0.56262316 0.20807383]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19445185 0.80554815 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.289551 0.       0.710449 0.      ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77102813 0.22897187]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26797706 0.         0.39898454 0.33303841]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795916 0.35143574 0.22583825 0.26476685]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40178784 0.         0.59821216 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79056089 0.10307435 0.10636477]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.09767657 0.16211876 0.74020467]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18320561 0.15207932 0.66471507]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58059715 0.         0.15847281 0.26093004]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.78557806 0.         0.21442194 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54641767 0.45358233 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50832409 0.         0.49167591]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57312907 0.         0.42687093 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.         0.17966812 0.82033188]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49214468 0.50785532]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21484227 0.47799224 0.30716549 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41156911 0.         0.58843089 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13011232 0.10165876 0.09690866 0.11463125 0.55668901]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36690507 0.10752082 0.44542234 0.08015177]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20390798 0.32070995 0.47538208]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.66159367 0.19387875 0.         0.14452758]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29350124 0.22931703 0.21860197 0.25857976 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11677987 0.49071811 0.28653379 0.10596823]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38867901 0.61132099 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42555869 0.26703276 0.11615538 0.19125317]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18320561 0.15207932 0.66471507]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.46485647 0.20220583 0.3329377 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795916 0.35143574 0.22583825 0.26476685]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79056089 0.10307435 0.10636477]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10295776 0.08762001 0.14542737 0.66399485]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37561042 0.29347019 0.         0.3309194  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27104156 0.4667938  0.26216464]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54641767 0.45358233 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.09767657 0.16211876 0.74020467]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49214468 0.50785532]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09687556 0.63849306 0.14423568 0.12039569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20403896 0.45395648 0.         0.34200456]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.58267719 0.         0.41732281]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22930301 0.         0.56262316 0.20807383]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57291703 0.         0.42708297]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.289551 0.       0.710449 0.      ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20020057 0.61666786 0.18313157]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.       0.570325 0.       0.429675]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11320356 0.74610853 0.         0.14068791]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.245083 0.754917 0.      ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.53162713 0.         0.         0.46837287 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44587381 0.         0.         0.55412619]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.37597509 0.62402491 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36734693 0.63265307 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13011232 0.10165876 0.09690866 0.11463125 0.55668901]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36690507 0.10752082 0.44542234 0.08015177]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29350124 0.22931703 0.21860197 0.25857976 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27104156 0.4667938  0.26216464]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10295776 0.08762001 0.14542737 0.66399485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79056089 0.10307435 0.10636477]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30641721 0.26076985 0.43281294 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50832409 0.         0.49167591]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18320561 0.15207932 0.66471507]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.54024013 0.45975987 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.18619045 0.81380955]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42555869 0.26703276 0.11615538 0.19125317]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38083265 0.         0.28364708 0.33552027 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.45811052 0.54188948 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11677987 0.49071811 0.28653379 0.10596823]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20390798 0.32070995 0.47538208]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16983365 0.70356327 0.12660308]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38867901 0.61132099 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.46485647 0.20220583 0.3329377 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57291703 0.         0.42708297]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.69687115 0.30312885 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22930301 0.         0.56262316 0.20807383]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20020057 0.61666786 0.18313157]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09687556 0.63849306 0.14423568 0.12039569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52226398 0.         0.47773602]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.52426875 0.         0.         0.47573125]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26797706 0.         0.39898454 0.33303841]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795916 0.35143574 0.22583825 0.26476685]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24355205 0.         0.34821261 0.40823534]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49214468 0.50785532]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40178784 0.         0.59821216 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37366794 0.         0.         0.62633206]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
Iteration 14, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14855405 0.10600493 0.100502   0.09450547 0.55043354]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36597459 0.11058693 0.43584171 0.08759678]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21181735 0.3425561  0.44562655]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64870905 0.1960211  0.         0.15526986]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33043847 0.23579368 0.22355317 0.21021469 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1106194  0.09540489 0.15815767 0.63581804]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35216133 0.33387994 0.31395872 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28396063 0.49149553 0.22454384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.10727116 0.17782901 0.71489983]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80319713 0.09050979 0.10629309]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.37625778 0.62374222 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55842308 0.         0.44157692]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.51537514 0.48462486 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10027545 0.61992718 0.14020829 0.13958908]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21232471 0.61319074 0.17448455]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11359899 0.48348959 0.26872134 0.13419008]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38208422 0.61791578 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993553 0.         0.52026316 0.25980131]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.55800212 0.         0.44199788]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2971304 0.        0.7028696 0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77848163 0.22151837]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1535273  0.32616809 0.23982046 0.28048415]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2638322  0.         0.3688985  0.36726931]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21337584 0.45331605 0.3333081  0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41697392 0.         0.58302608 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1907193  0.16897858 0.64030212]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41559299 0.27756796 0.11907262 0.18776643]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51166685 0.34173416 0.14659899 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53022081 0.46977919 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45990073 0.54009927]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39030933 0.         0.60969067 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.69979718 0.30020282 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14855405 0.10600493 0.100502   0.09450547 0.55043354]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1106194  0.09540489 0.15815767 0.63581804]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1907193  0.16897858 0.64030212]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41559299 0.27756796 0.11907262 0.18776643]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21181735 0.3425561  0.44562655]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36597459 0.11058693 0.43584171 0.08759678]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57526932 0.         0.1648219  0.25990878]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41147876 0.         0.49003294 0.0984883 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.12449989 0.11803686 0.11099409 0.64646915]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.83265125 0.16734875]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11359899 0.48348959 0.26872134 0.13419008]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38208422 0.61791578 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77729516 0.         0.22270484 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1535273  0.32616809 0.23982046 0.28048415]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21232471 0.61319074 0.17448455]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10027545 0.61992718 0.14020829 0.13958908]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489132 0.        0.4510868]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22784214 0.         0.35590547 0.41625239]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80319713 0.09050979 0.10629309]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12228609 0.         0.17483808 0.70287583]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45990073 0.54009927]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2638322  0.         0.3688985  0.36726931]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35374021 0.         0.         0.64625979]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53022081 0.46977919 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.4115656 0.        0.5884344 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28396063 0.49149553 0.22454384]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35216133 0.33387994 0.31395872 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68640853 0.31359147]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.51537514 0.48462486 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993553 0.         0.52026316 0.25980131]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41805034 0.         0.         0.58194966]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.66694892 0.33305108]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14855405 0.10600493 0.100502   0.09450547 0.55043354]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36597459 0.11058693 0.43584171 0.08759678]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21181735 0.3425561  0.44562655]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11359899 0.48348959 0.26872134 0.13419008]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32218315 0.         0.67781685]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64870905 0.1960211  0.         0.15526986]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33043847 0.23579368 0.22355317 0.21021469 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28396063 0.49149553 0.22454384]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43239431 0.         0.29252986 0.27507583 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993553 0.         0.52026316 0.25980131]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.55800212 0.         0.44199788]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41559299 0.27756796 0.11907262 0.18776643]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57526932 0.         0.1648219  0.25990878]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1907193  0.16897858 0.64030212]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1106194  0.09540489 0.15815767 0.63581804]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80319713 0.09050979 0.10629309]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3037476  0.26197038 0.43428201 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68640853 0.31359147]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.53692407 0.46307593 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.20880095 0.79119905]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.38806215 0.61193785]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2971304 0.        0.7028696 0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21232471 0.61319074 0.17448455]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10027545 0.61992718 0.14020829 0.13958908]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45990073 0.54009927]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1535273  0.32616809 0.23982046 0.28048415]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1166276  0.72102019 0.         0.1623522 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21337584 0.45331605 0.3333081  0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489132 0.        0.4510868]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61118383 0.         0.         0.38881617 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13923227 0.86076773 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39030933 0.         0.60969067 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14855405 0.10600493 0.100502   0.09450547 0.55043354]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36597459 0.11058693 0.43584171 0.08759678]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21181735 0.3425561  0.44562655]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64870905 0.1960211  0.         0.15526986]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33043847 0.23579368 0.22355317 0.21021469 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1106194  0.09540489 0.15815767 0.63581804]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28396063 0.49149553 0.22454384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13140156 0.11332869 0.         0.75526975]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80319713 0.09050979 0.10629309]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.53692407 0.46307593 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35216133 0.33387994 0.31395872 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11359899 0.48348959 0.26872134 0.13419008]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38208422 0.61791578 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993553 0.         0.52026316 0.25980131]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52867547 0.         0.47132453 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10027545 0.61992718 0.14020829 0.13958908]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55842308 0.         0.44157692]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.68901886 0.15583468 0.15514646]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21232471 0.61319074 0.17448455]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.50110654 0.49889346]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45990073 0.54009927]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1535273  0.32616809 0.23982046 0.28048415]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41559299 0.27756796 0.11907262 0.18776643]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57526932 0.         0.1648219  0.25990878]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1907193  0.16897858 0.64030212]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.38806215 0.61193785]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.55800212 0.         0.44199788]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.66694892 0.33305108]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489132 0.        0.4510868]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.38532618 0.28331742 0.3313564 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.57628036 0.42371964 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53022081 0.46977919 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14855405 0.10600493 0.100502   0.09450547 0.55043354]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36597459 0.11058693 0.43584171 0.08759678]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21181735 0.3425561  0.44562655]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41559299 0.27756796 0.11907262 0.18776643]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64870905 0.1960211  0.         0.15526986]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33043847 0.23579368 0.22355317 0.21021469 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11359899 0.48348959 0.26872134 0.13419008]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43461512 0.56538488]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.55800212 0.         0.44199788]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993553 0.         0.52026316 0.25980131]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42557771 0.30368297 0.         0.27073932 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1106194  0.09540489 0.15815767 0.63581804]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80319713 0.09050979 0.10629309]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3037476  0.26197038 0.43428201 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1907193  0.16897858 0.64030212]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28396063 0.49149553 0.22454384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.4115656 0.        0.5884344 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55842308 0.         0.44157692]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22949986 0.         0.77050014]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52867547 0.         0.47132453 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10027545 0.61992718 0.14020829 0.13958908]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21232471 0.61319074 0.17448455]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2638322  0.         0.3688985  0.36726931]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1535273  0.32616809 0.23982046 0.28048415]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45990073 0.54009927]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41697392 0.         0.58302608 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2019619  0.42906718 0.         0.36897093]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.32005165 0.67994835 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51166685 0.34173416 0.14659899 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.66694892 0.33305108]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489132 0.        0.4510868]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77729516 0.         0.22270484 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
Iteration 15, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14233582 0.11389131 0.10895423 0.11379459 0.52102405]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11021195 0.09191274 0.15218577 0.64568954]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81074246 0.08334092 0.10591662]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3110604  0.25941301 0.42952659 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17508874 0.18733149 0.63757976]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27775749 0.48336166 0.23888085]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13279243 0.127036   0.13267965 0.60749191]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36387537 0.126617   0.41866167 0.09084596]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.3383177  0.32365193 0.33803037 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66925119 0.33074881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42001872 0.         0.57998128 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21544916 0.         0.78455084]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.48913494 0.51086506 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11109714 0.50532251 0.25399904 0.12958131]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19215737 0.33978449 0.46805814]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19904432 0.6581441  0.14281158]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36123754 0.63876246 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.224585   0.         0.51346391 0.2619511 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09567033 0.59783138 0.13656122 0.16993707]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.66217948 0.33782052]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2427859  0.58640381 0.17081029]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.66107682 0.15100823 0.18791495]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16364979 0.30683511 0.24422847 0.28528663]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.81404875 0.18595125 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58701193 0.         0.41298807]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58224626 0.         0.41775374]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4109059  0.31291509 0.09942977 0.17674924]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49912605 0.38009693 0.12077702 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.75886744 0.24113256 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22897262 0.42931211 0.34171527 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44035717 0.55964283]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34783219 0.65216781 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14233582 0.11389131 0.10895423 0.11379459 0.52102405]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36387537 0.126617   0.41866167 0.09084596]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19215737 0.33978449 0.46805814]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62592702 0.21780259 0.         0.15627039]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4109059  0.31291509 0.09942977 0.17674924]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16364979 0.30683511 0.24422847 0.28528663]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45627302 0.34746328 0.         0.1962637 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17508874 0.18733149 0.63757976]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11021195 0.09191274 0.15218577 0.64568954]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81074246 0.08334092 0.10591662]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3110604  0.25941301 0.42952659 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.22709291 0.77290709]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.63903999 0.         0.36096001]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36123754 0.63876246 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11109714 0.50532251 0.25399904 0.12958131]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80021618 0.         0.         0.19978382]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29716695 0.23778086 0.22747327 0.23757892 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12763644 0.58055108 0.29181248 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2427859  0.58640381 0.17081029]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18022972 0.81977028 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38466882 0.30779629 0.         0.30753488 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09567033 0.59783138 0.13656122 0.16993707]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55550643 0.44449357 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27775749 0.48336166 0.23888085]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42001872 0.         0.57998128 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53762462 0.         0.46237538]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.36687395 0.29201699 0.34110905]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.66107682 0.15100823 0.18791495]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.55680527 0.44319473 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77442273 0.22557727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.81404875 0.18595125 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44035717 0.55964283]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14233582 0.11389131 0.10895423 0.11379459 0.52102405]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36387537 0.126617   0.41866167 0.09084596]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19215737 0.33978449 0.46805814]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62592702 0.21780259 0.         0.15627039]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29716695 0.23778086 0.22747327 0.23757892 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11021195 0.09191274 0.15218577 0.64568954]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27775749 0.48336166 0.23888085]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1299954  0.10841142 0.         0.76159318]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81074246 0.08334092 0.10591662]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16364979 0.30683511 0.24422847 0.28528663]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90678619 0.09321381 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.54526713 0.45473287 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17508874 0.18733149 0.63757976]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4109059  0.31291509 0.09942977 0.17674924]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36123754 0.63876246 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11109714 0.50532251 0.25399904 0.12958131]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59804238 0.         0.1447125  0.25724512]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48310973 0.51689027 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53762462 0.         0.46237538]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.3383177  0.32365193 0.33803037 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.224585   0.         0.51346391 0.2619511 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2427859  0.58640381 0.17081029]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09567033 0.59783138 0.13656122 0.16993707]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58701193 0.         0.41298807]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46159987 0.         0.         0.53840013]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58224626 0.         0.41775374]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.50021242 0.         0.49978758 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23788612 0.         0.33956209 0.42255178]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36001929 0.63998071]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21653342 0.40598924 0.         0.37747734]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.44555296 0.55444704]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34783219 0.65216781 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14233582 0.11389131 0.10895423 0.11379459 0.52102405]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36387537 0.126617   0.41866167 0.09084596]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19215737 0.33978449 0.46805814]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11109714 0.50532251 0.25399904 0.12958131]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29105249 0.         0.70894751]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62592702 0.21780259 0.         0.15627039]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29716695 0.23778086 0.22747327 0.23757892 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09567033 0.59783138 0.13656122 0.16993707]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38976748 0.31187603 0.29835648 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11021195 0.09191274 0.15218577 0.64568954]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81074246 0.08334092 0.10591662]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16364979 0.30683511 0.24422847 0.28528663]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.66107682 0.15100823 0.18791495]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90678619 0.09321381 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3110604  0.25941301 0.42952659 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27775749 0.48336166 0.23888085]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.51107738 0.48892262 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.224585   0.         0.51346391 0.2619511 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2427859  0.58640381 0.17081029]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46159987 0.         0.         0.53840013]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66925119 0.33074881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.54526713 0.45473287 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17508874 0.18733149 0.63757976]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4109059  0.31291509 0.09942977 0.17674924]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48310973 0.51689027 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.77866104 0.         0.22133896]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77442273 0.22557727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22897262 0.42931211 0.34171527 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40122215 0.         0.59877785 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58224626 0.         0.41775374]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53118014 0.16878419 0.30003567]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36001929 0.63998071]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14233582 0.11389131 0.10895423 0.11379459 0.52102405]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11109714 0.50532251 0.25399904 0.12958131]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36387537 0.126617   0.41866167 0.09084596]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4109059  0.31291509 0.09942977 0.17674924]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17508874 0.18733149 0.63757976]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27775749 0.48336166 0.23888085]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21544916 0.         0.78455084]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53118014 0.16878419 0.30003567]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19215737 0.33978449 0.46805814]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41662749 0.         0.47935633 0.10401618]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36123754 0.63876246 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12763644 0.58055108 0.29181248 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2427859  0.58640381 0.17081029]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09567033 0.59783138 0.13656122 0.16993707]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58701193 0.         0.41298807]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18022972 0.81977028 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15974019 0.12781758 0.         0.12770902 0.58473321]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23788612 0.         0.33956209 0.42255178]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81074246 0.08334092 0.10591662]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11021195 0.09191274 0.15218577 0.64568954]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44035717 0.55964283]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36019453 0.         0.         0.63980547]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18312718 0.1465309  0.         0.         0.67034192]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80021618 0.         0.         0.19978382]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36001929 0.63998071]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55550643 0.44449357 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3110604  0.25941301 0.42952659 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42001872 0.         0.57998128 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36493299 0.63506701 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16364979 0.30683511 0.24422847 0.28528663]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22897262 0.42931211 0.34171527 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40122215 0.         0.59877785 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 16, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14947497 0.09970328 0.10078537 0.09492353 0.55511285]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32010237 0.12425975 0.47398033 0.08165756]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22685123 0.31127548 0.46187329]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60853688 0.23622643 0.         0.15523669]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33598401 0.22410915 0.22654142 0.21336542 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09631724 0.60599208 0.13601193 0.16167874]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23335604 0.59169657 0.17494739]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16385578 0.31746135 0.23931039 0.27937247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80646838 0.09192106 0.10161056]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10083998 0.08474296 0.13118631 0.68323075]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47496663 0.52503337]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2444551  0.         0.34520102 0.41034389]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21540426 0.41733363 0.         0.36726211]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41457231 0.         0.58542769 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34043206 0.65956794 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41937046 0.30850647 0.10332152 0.16880154]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19355378 0.15992461 0.64652161]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.531331   0.17794741 0.29072159]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42155728 0.57844272 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10452783 0.52533151 0.24323428 0.12690638]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60344491 0.         0.39655509]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37968675 0.62031325]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28283777 0.71716223 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42711574 0.28489613 0.28798813 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11972122 0.60168978 0.278589   0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30057281 0.         0.69942719 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59987165 0.40012835 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27289836 0.49366605 0.23343559]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54756892 0.45243108 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31833891 0.26752268 0.41413841 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.39245702 0.60754298 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35600186 0.64399814 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14947497 0.09970328 0.10078537 0.09492353 0.55511285]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32010237 0.12425975 0.47398033 0.08165756]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33598401 0.22410915 0.22654142 0.21336542 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09631724 0.60599208 0.13601193 0.16167874]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23335604 0.59169657 0.17494739]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2444551  0.         0.34520102 0.41034389]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16385578 0.31746135 0.23931039 0.27937247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80646838 0.09192106 0.10161056]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10083998 0.08474296 0.13118631 0.68323075]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42711574 0.28489613 0.28798813 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.09424681 0.14589874 0.75985445]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47496663 0.52503337]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21540426 0.41733363 0.         0.36726211]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41457231 0.         0.58542769 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.49730138 0.50269862 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10452783 0.52533151 0.24323428 0.12690638]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22685123 0.31127548 0.46187329]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18276244 0.69713484 0.12010272]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41937046 0.30850647 0.10332152 0.16880154]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19355378 0.15992461 0.64652161]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.531331   0.17794741 0.29072159]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85303818 0.14696182]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42155728 0.57844272 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74911487 0.25088513 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22021229 0.         0.51242979 0.26735792]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27289836 0.49366605 0.23343559]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.65714012 0.34285988]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.57152604 0.         0.42847396]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34043206 0.65956794 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.39245702 0.60754298 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54756892 0.45243108 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67895054 0.32104946]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14947497 0.09970328 0.10078537 0.09492353 0.55511285]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32010237 0.12425975 0.47398033 0.08165756]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33598401 0.22410915 0.22654142 0.21336542 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10083998 0.08474296 0.13118631 0.68323075]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80646838 0.09192106 0.10161056]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31833891 0.26752268 0.41413841 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19355378 0.15992461 0.64652161]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27289836 0.49366605 0.23343559]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43460583 0.         0.56539417 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53896911 0.         0.46103089]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.33750565 0.34116862 0.32132573 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10452783 0.52533151 0.24323428 0.12690638]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22685123 0.31127548 0.46187329]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22021229 0.         0.51242979 0.26735792]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.51227926 0.         0.48772074 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.23040049 0.         0.76959951]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41937046 0.30850647 0.10332152 0.16880154]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16385578 0.31746135 0.23931039 0.27937247]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09631724 0.60599208 0.13601193 0.16167874]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2273793  0.44053459 0.33208611 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23335604 0.59169657 0.17494739]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.114893   0.72286379 0.16224321 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.8166965 0.1833035 0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.57152604 0.         0.42847396]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.65714012 0.34285988]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18276244 0.69713484 0.12010272]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32937877 0.         0.67062123]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46769324 0.34405473 0.         0.18825203]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47496663 0.52503337]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40642245 0.         0.59357755 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.64634673 0.         0.35365327]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60344491 0.         0.39655509]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14947497 0.09970328 0.10078537 0.09492353 0.55511285]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32010237 0.12425975 0.47398033 0.08165756]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22685123 0.31127548 0.46187329]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10452783 0.52533151 0.24323428 0.12690638]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32937877 0.         0.67062123]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41937046 0.30850647 0.10332152 0.16880154]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19355378 0.15992461 0.64652161]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.531331   0.17794741 0.29072159]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60853688 0.23622643 0.         0.15523669]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33598401 0.22410915 0.22654142 0.21336542 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22021229 0.         0.51242979 0.26735792]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23335604 0.59169657 0.17494739]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16385578 0.31746135 0.23931039 0.27937247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80646838 0.09192106 0.10161056]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10083998 0.08474296 0.13118631 0.68323075]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54756892 0.45243108 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11017668 0.         0.14333276 0.74649057]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47496663 0.52503337]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21540426 0.41733363 0.         0.36726211]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28283777 0.71716223 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45165247 0.         0.         0.54834753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60344491 0.         0.39655509]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37968675 0.62031325]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43439173 0.28974939 0.         0.27585889 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27289836 0.49366605 0.23343559]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43460583 0.         0.56539417 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53896911 0.         0.46103089]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61160345 0.         0.         0.38839655 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09631724 0.60599208 0.13601193 0.16167874]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2444551  0.         0.34520102 0.41034389]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37332846 0.         0.         0.62667154]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36968713 0.         0.         0.63031287]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14947497 0.09970328 0.10078537 0.09492353 0.55511285]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32010237 0.12425975 0.47398033 0.08165756]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33598401 0.22410915 0.22654142 0.21336542 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10452783 0.52533151 0.24323428 0.12690638]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22685123 0.31127548 0.46187329]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18276244 0.69713484 0.12010272]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42155728 0.57844272 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22021229 0.         0.51242979 0.26735792]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60344491 0.         0.39655509]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30057281 0.         0.69942719 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43439173 0.28974939 0.         0.27585889 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10083998 0.08474296 0.13118631 0.68323075]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27289836 0.49366605 0.23343559]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11606629 0.0975387  0.         0.78639501]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80646838 0.09192106 0.10161056]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5433688 0.4566312 0.        0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19355378 0.15992461 0.64652161]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.51227926 0.         0.48772074 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09631724 0.60599208 0.13601193 0.16167874]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53896911 0.         0.46103089]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19830784 0.80169216]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41937046 0.30850647 0.10332152 0.16880154]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.67058056 0.1505085  0.17891095]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16385578 0.31746135 0.23931039 0.27937247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47496663 0.52503337]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.8166965 0.1833035 0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23335604 0.59169657 0.17494739]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21540426 0.41733363 0.         0.36726211]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.531331   0.17794741 0.29072159]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.53190912 0.         0.46809088]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28283777 0.71716223 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.64634673 0.         0.35365327]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
Iteration 17, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17524179 0.0934662  0.11918696 0.09361975 0.51848531]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30515149 0.47504667 0.21980184]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19330971 0.         0.13147547 0.10327221 0.57194261]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32550946 0.13280348 0.45977079 0.08191627]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45159765 0.         0.30714449 0.24125785 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09647562 0.08388596 0.14832022 0.6713182 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75334366 0.1223158  0.12434054]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29352286 0.25521935 0.45125778 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20171838 0.15888836 0.63939325]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68366941 0.31633059]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.23982355 0.         0.76017645]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40630818 0.29515296 0.11556826 0.18297061]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.1968945  0.68165639 0.12144911]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21710938 0.31396119 0.46892943]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49729934 0.36125133 0.14144933 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39410646 0.         0.60589354 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.56007144 0.43992856 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10514374 0.62856735 0.12022682 0.14606208]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21848243 0.59820096 0.1833166 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2830762  0.         0.32368404 0.39323976]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14132114 0.32114298 0.27746132 0.26007455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49589562 0.50410438]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46653716 0.         0.53346284 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12006687 0.49483056 0.2698557  0.11524688]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40102816 0.59897184]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23767643 0.         0.53418848 0.22813509]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54376047 0.         0.45623953]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51024163 0.         0.         0.48975837]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19558973 0.44446476 0.         0.35994551]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35207439 0.         0.         0.64792561]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.71862116 0.28137884 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6184968 0.        0.3815032]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17524179 0.0934662  0.11918696 0.09361975 0.51848531]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12006687 0.49483056 0.2698557  0.11524688]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21710938 0.31396119 0.46892943]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40630818 0.29515296 0.11556826 0.18297061]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32550946 0.13280348 0.45977079 0.08191627]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40102816 0.59897184]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60253953 0.24582802 0.         0.15163244]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19895458 0.10611355 0.         0.10628787 0.588644  ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10514374 0.62856735 0.12022682 0.14606208]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21848243 0.59820096 0.1833166 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2830762  0.         0.32368404 0.39323976]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14132114 0.32114298 0.27746132 0.26007455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75334366 0.1223158  0.12434054]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09647562 0.08388596 0.14832022 0.6713182 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49589562 0.50410438]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46653716 0.         0.53346284 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22261595 0.11873348 0.         0.         0.65865057]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6184968 0.        0.3815032]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49729934 0.36125133 0.14144933 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20171838 0.15888836 0.63939325]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30515149 0.47504667 0.21980184]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.65216441 0.34783559 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68366941 0.31633059]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29352286 0.25521935 0.45125778 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.23982355 0.         0.76017645]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.71862116 0.28137884 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23767643 0.         0.53418848 0.22813509]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54376047 0.         0.45623953]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51024163 0.         0.         0.48975837]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39410646 0.         0.60589354 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19558973 0.44446476 0.         0.35994551]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35207439 0.         0.         0.64792561]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17524179 0.0934662  0.11918696 0.09361975 0.51848531]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32550946 0.13280348 0.45977079 0.08191627]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36393861 0.19410872 0.24752507 0.1944276  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30515149 0.47504667 0.21980184]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20171838 0.15888836 0.63939325]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40630818 0.29515296 0.11556826 0.18297061]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14132114 0.32114298 0.27746132 0.26007455]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21848243 0.59820096 0.1833166 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10514374 0.62856735 0.12022682 0.14606208]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75334366 0.1223158  0.12434054]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11951233 0.71446524 0.         0.16602243]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45159765 0.         0.30714449 0.24125785 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12006687 0.49483056 0.2698557  0.11524688]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.1968945  0.68165639 0.12144911]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13570663 0.55928659 0.30500677 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54376047 0.         0.45623953]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20817512 0.         0.40871835 0.38310652]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.81144264 0.         0.18855736]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19526325 0.80473675 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21710938 0.31396119 0.46892943]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.65179197 0.         0.         0.34820803 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09647562 0.08388596 0.14832022 0.6713182 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.85833112 0.         0.14166888]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33745716 0.         0.66254284 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29352286 0.25521935 0.45125778 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.39112049 0.60887951 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45940027 0.33372045 0.         0.20687929]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55938605 0.44061395 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.53490119 0.46509881 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.61731523 0.         0.38268477]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.2241128 0.7758872 0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31646807 0.         0.68353193]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17524179 0.0934662  0.11918696 0.09361975 0.51848531]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10514374 0.62856735 0.12022682 0.14606208]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21848243 0.59820096 0.1833166 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14132114 0.32114298 0.27746132 0.26007455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75334366 0.1223158  0.12434054]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09647562 0.08388596 0.14832022 0.6713182 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49589562 0.50410438]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2830762  0.         0.32368404 0.39323976]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19558973 0.44446476 0.         0.35994551]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46653716 0.         0.53346284 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.30558293 0.69441707 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26752403 0.73247597 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19334246 0.1031203  0.13149774 0.         0.5720395 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32550946 0.13280348 0.45977079 0.08191627]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21710938 0.31396119 0.46892943]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12006687 0.49483056 0.2698557  0.11524688]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31646807 0.         0.68353193]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60253953 0.24582802 0.         0.15163244]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40630818 0.29515296 0.11556826 0.18297061]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.79894182 0.         0.         0.20105818]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45177641 0.24095751 0.30726607 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29352286 0.25521935 0.45125778 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20171838 0.15888836 0.63939325]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30515149 0.47504667 0.21980184]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.23982355 0.         0.76017645]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49729934 0.36125133 0.14144933 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39410646 0.         0.60589354 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.39112049 0.60887951 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43952416 0.56047584 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23767643 0.         0.53418848 0.22813509]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30792491 0.         0.69207509 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.71862116 0.28137884 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17524179 0.0934662  0.11918696 0.09361975 0.51848531]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32550946 0.13280348 0.45977079 0.08191627]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21710938 0.31396119 0.46892943]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12006687 0.49483056 0.2698557  0.11524688]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31646807 0.         0.68353193]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40630818 0.29515296 0.11556826 0.18297061]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60253953 0.24582802 0.         0.15163244]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57644872 0.         0.16396218 0.2595891 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.79894182 0.         0.         0.20105818]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36393861 0.19410872 0.24752507 0.1944276  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09647562 0.08388596 0.14832022 0.6713182 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75334366 0.1223158  0.12434054]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29352286 0.25521935 0.45125778 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20171838 0.15888836 0.63939325]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77855245 0.         0.22144755 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14132114 0.32114298 0.27746132 0.26007455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49589562 0.50410438]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19558973 0.44446476 0.         0.35994551]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55938605 0.44061395 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39410646 0.         0.60589354 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.30517293 0.3891528  0.30567427 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10514374 0.62856735 0.12022682 0.14606208]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21848243 0.59820096 0.1833166 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.55253492 0.         0.44746508]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2830762  0.         0.32368404 0.39323976]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26752403 0.73247597 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46653716 0.         0.53346284 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43952416 0.56047584 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23767643 0.         0.53418848 0.22813509]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30515149 0.47504667 0.21980184]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.39112049 0.60887951 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.70073719 0.29926281]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 18, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19385671 0.09367468 0.10929365 0.09795029 0.50522468]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31785295 0.1228794  0.48379128 0.07547637]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11490735 0.50528174 0.26468888 0.11512204]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2241625  0.32154001 0.45429749]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23226826 0.         0.53502953 0.23270222]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34380187 0.13291104 0.52328709 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39180756 0.18932771 0.22089551 0.19796922 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09296217 0.08556577 0.1486639  0.67280816]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.31129573 0.36320003 0.32550425 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28231797 0.48111365 0.23656837]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17794878 0.16365766 0.65839356]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39951733 0.28781827 0.11572849 0.19693591]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.330399 0.       0.669601]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20254712 0.79745288 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56097666 0.         0.16249853 0.2765248 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52091752 0.47908248 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36980125 0.63019875 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.52736717 0.47263283 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09311769 0.62928385 0.11673476 0.16086369]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15697211 0.30696882 0.2621358  0.27392327]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21697006 0.58672039 0.19630955]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11096849 0.74991851 0.13911299 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5249958 0.        0.4750042]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30270941 0.         0.69729059 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2265008  0.         0.37824531 0.39525389]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44372934 0.         0.55627066 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78545602 0.11107484 0.10346914]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.09433539 0.16390044 0.74176417]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51772527 0.48227473]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37453866 0.         0.62546134 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37013644 0.62986356]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.36530714 0.63469286 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19385671 0.09367468 0.10929365 0.09795029 0.50522468]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31785295 0.1228794  0.48379128 0.07547637]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39180756 0.18932771 0.22089551 0.19796922 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09296217 0.08556577 0.1486639  0.67280816]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78545602 0.11107484 0.10346914]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2841213 0.2615156 0.4543631 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28231797 0.48111365 0.23656837]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52071496 0.47928504 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17794878 0.16365766 0.65839356]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39951733 0.28781827 0.11572849 0.19693591]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15697211 0.30696882 0.2621358  0.27392327]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51772527 0.48227473]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09311769 0.62928385 0.11673476 0.16086369]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21697006 0.58672039 0.19630955]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25118326 0.         0.31488988 0.43392686]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21273849 0.41602346 0.         0.37123805]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45180391 0.32548631 0.         0.22270978]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2241625  0.32154001 0.45429749]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18013623 0.70921846 0.11064532]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41077785 0.58922215 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11490735 0.50528174 0.26468888 0.11512204]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6194899 0.        0.3805101]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.66982171 0.         0.         0.33017829]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52091752 0.47908248 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.31129573 0.36320003 0.32550425 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36663196 0.         0.         0.63336804]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.52844379 0.         0.47155621]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46152363 0.53847637 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12985672 0.57101856 0.29912473 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30270941 0.         0.69729059 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54408441 0.         0.45591559]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5249958 0.        0.4750042]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19385671 0.09367468 0.10929365 0.09795029 0.50522468]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11490735 0.50528174 0.26468888 0.11512204]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2241625  0.32154001 0.45429749]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31785295 0.1228794  0.48379128 0.07547637]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23226826 0.         0.53502953 0.23270222]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21764379 0.10516898 0.         0.10996922 0.567218  ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34380187 0.13291104 0.52328709 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41077785 0.58922215 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39951733 0.28781827 0.11572849 0.19693591]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17794878 0.16365766 0.65839356]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.47931154 0.19272577 0.32796269]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69689645 0.30310355]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21697006 0.58672039 0.19630955]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15697211 0.30696882 0.2621358  0.27392327]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78545602 0.11107484 0.10346914]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21273849 0.41602346 0.         0.37123805]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37013644 0.62986356]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.7211927 0.2788073 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50289475 0.24300683 0.         0.25409842 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28231797 0.48111365 0.23656837]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.66433195 0.         0.         0.33566805 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09311769 0.62928385 0.11673476 0.16086369]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.52844379 0.         0.47155621]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11096849 0.74991851 0.13911299 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2699672 0.7300328 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44372934 0.         0.55627066 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87610595 0.12389405 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09296217 0.08556577 0.1486639  0.67280816]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2841213 0.2615156 0.4543631 0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67037161 0.32962839]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52091752 0.47908248 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.36530714 0.63469286 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19385671 0.09367468 0.10929365 0.09795029 0.50522468]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09311769 0.62928385 0.11673476 0.16086369]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21697006 0.58672039 0.19630955]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25118326 0.         0.31488988 0.43392686]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78545602 0.11107484 0.10346914]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09296217 0.08556577 0.1486639  0.67280816]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51772527 0.48227473]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36663196 0.         0.         0.63336804]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15697211 0.30696882 0.2621358  0.27392327]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5249958 0.        0.4750042]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11490735 0.50528174 0.26468888 0.11512204]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2149069  0.10384647 0.12116145 0.         0.56008518]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31785295 0.1228794  0.48379128 0.07547637]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.48851935 0.2360604  0.27542024 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2841213 0.2615156 0.4543631 0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46152363 0.53847637 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.57088005 0.29905217 0.13006778]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18013623 0.70921846 0.11064532]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2241625  0.32154001 0.45429749]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39951733 0.28781827 0.11572849 0.19693591]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41444247 0.58555753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6194899 0.        0.3805101]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56097666 0.         0.16249853 0.2765248 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.65623509 0.34376491 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2265008  0.         0.37824531 0.39525389]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28231797 0.48111365 0.23656837]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.36530714 0.63469286 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17794878 0.16365766 0.65839356]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54408441 0.         0.45591559]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19908451 0.80091549]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.7753917 0.        0.2246083 0.       ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37453866 0.         0.62546134 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19385671 0.09367468 0.10929365 0.09795029 0.50522468]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09296217 0.08556577 0.1486639  0.67280816]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78545602 0.11107484 0.10346914]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09311769 0.62928385 0.11673476 0.16086369]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15697211 0.30696882 0.2621358  0.27392327]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11096849 0.74991851 0.13911299 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88360197 0.         0.11639803]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2841213 0.2615156 0.4543631 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28231797 0.48111365 0.23656837]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52071496 0.47928504 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.11620103 0.13557596 0.12150481 0.62671821]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54408441 0.         0.45591559]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.15340135 0.13748014 0.70911851]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31785295 0.1228794  0.48379128 0.07547637]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.52736717 0.47263283 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11490735 0.50528174 0.26468888 0.11512204]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2241625  0.32154001 0.45429749]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18013623 0.70921846 0.11064532]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41077785 0.58922215 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39951733 0.28781827 0.11572849 0.19693591]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23226826 0.         0.53502953 0.23270222]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12890018 0.87109982 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21697006 0.58672039 0.19630955]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17794878 0.16365766 0.65839356]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19908451 0.80091549]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56097666 0.         0.16249853 0.2765248 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69689645 0.30310355]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5249958 0.        0.4750042]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6194899 0.        0.3805101]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21619218 0.42277738 0.36103043 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33834504 0.66165496 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37013644 0.62986356]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
Iteration 19, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19091116 0.1165015  0.10990672 0.09680882 0.4858718 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09530246 0.08486228 0.15483509 0.66500018]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78402426 0.09775467 0.11822107]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2844851  0.25332036 0.46219454 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28293296 0.50957408 0.20749297]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52897398 0.47102602 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17127041 0.15596488 0.67276471]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41604034 0.27317077 0.11162787 0.19916102]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2401251  0.32020225 0.43967265]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10502644 0.52246532 0.26465975 0.10784849]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14399099 0.13584011 0.11965165 0.60051725]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0968214  0.62821696 0.11611896 0.15884268]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45261875 0.54738125]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10954122 0.71074831 0.         0.17971047]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23229497 0.57212318 0.19558185]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37870553 0.         0.         0.62129447]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15786181 0.28640527 0.24370186 0.31203106]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2087296  0.37869361 0.         0.41257679]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.16356138 0.15430268 0.         0.68213594]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33698627 0.11430347 0.47867052 0.07003974]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.51456392 0.48543608 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57691273 0.         0.42308727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.58377738 0.29571795 0.12050467]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35323021 0.         0.64676979]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17239985 0.7219617  0.10563845]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57240452 0.         0.15358198 0.2740135 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35533087 0.64466913 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5429015 0.        0.4570985]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.71048026 0.28951974]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.67626694 0.         0.         0.32373306]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52338613 0.47661387 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62005791 0.         0.37994209]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19091116 0.1165015  0.10990672 0.09680882 0.4858718 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10502644 0.52246532 0.26465975 0.10784849]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33698627 0.11430347 0.47867052 0.07003974]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2401251  0.32020225 0.43967265]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41604034 0.27317077 0.11162787 0.19916102]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.42138812 0.57861188]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64639788 0.21925379 0.         0.13434833]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57240452 0.         0.15358198 0.2740135 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17127041 0.15596488 0.67276471]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09530246 0.08486228 0.15483509 0.66500018]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78402426 0.09775467 0.11822107]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2844851  0.25332036 0.46219454 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28293296 0.50957408 0.20749297]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52897398 0.47102602 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.18819755 0.81180245]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35917587 0.64082413]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82792317 0.         0.         0.17207683]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21448444 0.13088684 0.         0.10876255 0.54586616]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0968214  0.62821696 0.11611896 0.15884268]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23229497 0.57212318 0.19558185]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11772264 0.58562399 0.29665337 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.74523828 0.25476172]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26042447 0.         0.3123299  0.42724563]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15786181 0.28640527 0.24370186 0.31203106]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22122054 0.         0.34151297 0.43726649]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45261875 0.54738125]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33595277 0.         0.         0.66404723]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45468789 0.         0.54531211 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24065914 0.14685968 0.         0.         0.61248118]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.167375 0.832625 0.       0.      ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62102569 0.37897431 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57691273 0.         0.42308727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19091116 0.1165015  0.10990672 0.09680882 0.4858718 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33698627 0.11430347 0.47867052 0.07003974]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37132988 0.2266001  0.21377298 0.18829704 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09530246 0.08486228 0.15483509 0.66500018]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78402426 0.09775467 0.11822107]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2844851  0.25332036 0.46219454 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17127041 0.15596488 0.67276471]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41604034 0.27317077 0.11162787 0.19916102]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17239985 0.7219617  0.10563845]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2401251  0.32020225 0.43967265]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62005791 0.         0.37994209]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5195056  0.34110574 0.13938866 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42854431 0.57145569 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.78845064 0.         0.21154936 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52338613 0.47661387 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28293296 0.50957408 0.20749297]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36044357 0.34003999 0.29951644 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10502644 0.52246532 0.26465975 0.10784849]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993468 0.         0.55422101 0.22584431]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23229497 0.57212318 0.19558185]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0968214  0.62821696 0.11611896 0.15884268]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5429015 0.        0.4570985]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49337157 0.         0.         0.50662843]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54615971 0.         0.45384029 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.71063659 0.28936341]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.38100021 0.         0.61899979 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26042447 0.         0.3123299  0.42724563]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15786181 0.28640527 0.24370186 0.31203106]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45468789 0.         0.54531211 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22946067 0.41630553 0.35423381 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45261875 0.54738125]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39311776 0.         0.60688224 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19091116 0.1165015  0.10990672 0.09680882 0.4858718 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33698627 0.11430347 0.47867052 0.07003974]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2401251  0.32020225 0.43967265]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64639788 0.21925379 0.         0.13434833]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37132988 0.2266001  0.21377298 0.18829704 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10502644 0.52246532 0.26465975 0.10784849]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42854431 0.57145569 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41604034 0.27317077 0.11162787 0.19916102]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993468 0.         0.55422101 0.22584431]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.47229346 0.28821205 0.         0.23949449 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0968214  0.62821696 0.11611896 0.15884268]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23229497 0.57212318 0.19558185]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26042447 0.         0.3123299  0.42724563]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62102569 0.37897431 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09530246 0.08486228 0.15483509 0.66500018]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78402426 0.09775467 0.11822107]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15786181 0.28640527 0.24370186 0.31203106]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88913925 0.11086075 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2844851  0.25332036 0.46219454 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28293296 0.50957408 0.20749297]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.71063659 0.28936341]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52897398 0.47102602 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17127041 0.15596488 0.67276471]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.18819755 0.81180245]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57240452 0.         0.15358198 0.2740135 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35917587 0.64082413]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62005791 0.         0.37994209]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.71048026 0.28951974]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5429015 0.        0.4570985]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2087296  0.37869361 0.         0.41257679]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33595277 0.         0.         0.66404723]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.42230967 0.57769033]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19091116 0.1165015  0.10990672 0.09680882 0.4858718 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09530246 0.08486228 0.15483509 0.66500018]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78402426 0.09775467 0.11822107]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15786181 0.28640527 0.24370186 0.31203106]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41604034 0.27317077 0.11162787 0.19916102]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17127041 0.15596488 0.67276471]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.46779048 0.19115682 0.3410527 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33698627 0.11430347 0.47867052 0.07003974]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10502644 0.52246532 0.26465975 0.10784849]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2401251  0.32020225 0.43967265]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993468 0.         0.55422101 0.22584431]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14399099 0.13584011 0.11965165 0.60051725]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36236631 0.12291221 0.51472148 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36044357 0.34003999 0.29951644 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.71048026 0.28951974]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23229497 0.57212318 0.19558185]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19276304 0.80723696 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.70990576 0.29009424 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.34009296 0.28938464 0.3705224 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0968214  0.62821696 0.11611896 0.15884268]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.74523828 0.25476172]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.        0.5402781 0.4597219 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88913925 0.11086075 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2844851  0.25332036 0.46219454 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28293296 0.50957408 0.20749297]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52897398 0.47102602 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52338613 0.47661387 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57691273 0.         0.42308727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54615971 0.         0.45384029 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26042447 0.         0.3123299  0.42724563]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35323021 0.         0.64676979]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.42230967 0.57769033]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
Iteration 20, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20474783 0.1151447  0.1340424  0.08609314 0.45997194]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32721668 0.11410288 0.48301782 0.07566262]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37914294 0.21321984 0.24821377 0.15942345 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11129646 0.4699889  0.2923315  0.12638315]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20432935 0.30790699 0.48776366]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16959826 0.71793964 0.1124621 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39889662 0.60110338 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43762543 0.27233498 0.10361559 0.186424  ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20998892 0.         0.55155731 0.23845377]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50432281 0.28361764 0.         0.21205955 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12363991 0.08303536 0.15714721 0.63617752]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77932297 0.0972772  0.12339984]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33983583 0.22823042 0.43193376 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.57218215 0.         0.42781785 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09776376 0.62759703 0.11673625 0.15790296]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28365924 0.5418584  0.17448237]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16060574 0.30486708 0.23957454 0.29495264]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44081251 0.55918749]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26252144 0.         0.31346755 0.42401101]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2112051  0.40091645 0.         0.38787844]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38238752 0.         0.         0.61761248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34503785 0.65496215 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.34361378 0.65638622 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23291444 0.56686396 0.20022161]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34571767 0.65428233 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16397477 0.15059426 0.68543097]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53773968 0.         0.46226032]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60128358 0.         0.39871642]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60141057 0.         0.14239463 0.25619481]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69816401 0.30183599]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80855925 0.         0.19144075 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.18013124 0.81986876]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20474783 0.1151447  0.1340424  0.08609314 0.45997194]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11129646 0.4699889  0.2923315  0.12638315]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20432935 0.30790699 0.48776366]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32721668 0.11410288 0.48301782 0.07566262]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23644094 0.13296805 0.         0.09941957 0.53117143]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16959826 0.71793964 0.1124621 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43762543 0.27233498 0.10361559 0.186424  ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16397477 0.15059426 0.68543097]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48425907 0.18424657 0.33149436]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39889662 0.60110338 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20998892 0.         0.55155731 0.23845377]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.86456905 0.13543095]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35724637 0.64275363]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27574021 0.         0.72425979 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28365924 0.5418584  0.17448237]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09776376 0.62759703 0.11673625 0.15790296]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77932297 0.0972772  0.12339984]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12363991 0.08303536 0.15714721 0.63617752]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44081251 0.55918749]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16060574 0.30486708 0.23957454 0.29495264]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11068468 0.71054317 0.         0.17877215]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.61915188 0.         0.38084812]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22779426 0.43240653 0.33979921 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50432281 0.28361764 0.         0.21205955 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33983583 0.22823042 0.43193376 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52126799 0.47873201 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44033327 0.         0.55966673 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23291444 0.56686396 0.20022161]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.57218215 0.         0.42781785 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53773968 0.         0.46226032]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38238752 0.         0.         0.61761248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40133347 0.         0.59866653 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20474783 0.1151447  0.1340424  0.08609314 0.45997194]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23291444 0.56686396 0.20022161]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12363991 0.08303536 0.15714721 0.63617752]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77932297 0.0972772  0.12339984]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16060574 0.30486708 0.23957454 0.29495264]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09776376 0.62759703 0.11673625 0.15790296]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28365924 0.5418584  0.17448237]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26252144 0.         0.31346755 0.42401101]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.889029 0.110971 0.      ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33983583 0.22823042 0.43193376 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23139131 0.         0.15148511 0.09729629 0.51982729]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38238752 0.         0.         0.61761248]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2563314  0.         0.16781266 0.         0.57585594]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32721668 0.11410288 0.48301782 0.07566262]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20432935 0.30790699 0.48776366]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11129646 0.4699889  0.2923315  0.12638315]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63293608 0.22070951 0.         0.14635441]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60434986 0.         0.39565014 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12739733 0.53798058 0.33462209 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.61915188 0.         0.38084812]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19146613 0.80853387 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29523394 0.         0.70476606]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60128358 0.         0.39871642]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43762543 0.27233498 0.10361559 0.186424  ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16397477 0.15059426 0.68543097]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48425907 0.18424657 0.33149436]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34571767 0.65428233 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53773968 0.         0.46226032]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.7243904 0.2756096 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22779426 0.43240653 0.33979921 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40133347 0.         0.59866653 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52126799 0.47873201 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20474783 0.1151447  0.1340424  0.08609314 0.45997194]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32721668 0.11410288 0.48301782 0.07566262]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37914294 0.21321984 0.24821377 0.15942345 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23291444 0.56686396 0.20022161]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12363991 0.08303536 0.15714721 0.63617752]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77932297 0.0972772  0.12339984]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33983583 0.22823042 0.43193376 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53773968 0.         0.46226032]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.48189184 0.         0.31548047 0.20262769 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11129646 0.4699889  0.2923315  0.12638315]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20432935 0.30790699 0.48776366]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43762543 0.27233498 0.10361559 0.186424  ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16397477 0.15059426 0.68543097]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48425907 0.18424657 0.33149436]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16959826 0.71793964 0.1124621 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.38697794 0.61302206]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60128358 0.         0.39871642]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.7243904 0.2756096 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20998892 0.         0.55155731 0.23845377]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.70398552 0.         0.         0.29601448 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09776376 0.62759703 0.11673625 0.15790296]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28365924 0.5418584  0.17448237]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69816401 0.30183599]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75642546 0.24357454]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26252144 0.         0.31346755 0.42401101]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44081251 0.55918749]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16060574 0.30486708 0.23957454 0.29495264]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.36319891 0.2854136  0.35138749]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.44819898 0.55180102]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38238752 0.         0.         0.61761248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59823274 0.40176726 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52126799 0.47873201 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20474783 0.1151447  0.1340424  0.08609314 0.45997194]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32721668 0.11410288 0.48301782 0.07566262]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43762543 0.27233498 0.10361559 0.186424  ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36936194 0.         0.54523015 0.08540791]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11129646 0.4699889  0.2923315  0.12638315]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20432935 0.30790699 0.48776366]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20998892 0.         0.55155731 0.23845377]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40385429 0.         0.59614571 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37914294 0.21321984 0.24821377 0.15942345 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23291444 0.56686396 0.20022161]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16397477 0.15059426 0.68543097]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.53790356 0.33473822 0.12735822 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52126799 0.47873201 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29122372 0.70877628 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.48189184 0.         0.31548047 0.20262769 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09776376 0.62759703 0.11673625 0.15790296]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28365924 0.5418584  0.17448237]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27574021 0.         0.72425979 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75642546 0.24357454]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16060574 0.30486708 0.23957454 0.29495264]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26252144 0.         0.31346755 0.42401101]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77932297 0.0972772  0.12339984]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12363991 0.08303536 0.15714721 0.63617752]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44081251 0.55918749]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22779426 0.43240653 0.33979921 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38238752 0.         0.         0.61761248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34503785 0.65496215 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.7243904 0.2756096 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29523394 0.         0.70476606]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60434986 0.         0.39565014 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33983583 0.22823042 0.43193376 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34571767 0.65428233 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
Iteration 21, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18840739 0.10634967 0.10986886 0.07391816 0.52145593]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36131794 0.12015963 0.44251451 0.07600791]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18695604 0.33294735 0.4800966 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13009877 0.46371718 0.28249034 0.12369371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64812081 0.21553859 0.         0.1363406 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39370958 0.22223589 0.22958984 0.15446468 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14846266 0.52917249 0.32236485 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24108084 0.5768973  0.18202186]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11082848 0.60516917 0.12122975 0.16277259]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414333 0.31798092 0.24170013 0.26617562]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1323756  0.72282532 0.14479907 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7991526  0.09839419 0.10245322]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10275852 0.06257569 0.12122908 0.7134367 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24800137 0.53993331 0.21206532]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11693437 0.07120819 0.         0.81185744]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48989523 0.51010477]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23730927 0.43332019 0.32937053 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56979273 0.         0.43020727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21908938 0.78091062 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2802718 0.        0.7197282]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61253576 0.         0.38746424]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.51103893 0.28846438 0.         0.20049669 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.15478889 0.84521111 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41877136 0.         0.58122864 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.63919551 0.36080449 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53905527 0.         0.46094473]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62152001 0.37847999 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42257103 0.28849128 0.10286165 0.18607603]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17195083 0.15642412 0.67162505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49961346 0.17813733 0.32224922]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35599943 0.64400057]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52364173 0.47635827 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18840739 0.10634967 0.10986886 0.07391816 0.52145593]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24800137 0.53993331 0.21206532]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10275852 0.06257569 0.12122908 0.7134367 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17195083 0.15642412 0.67162505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42257103 0.28849128 0.10286165 0.18607603]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52364173 0.47635827 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10961794 0.         0.12932146 0.7610606 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7991526  0.09839419 0.10245322]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.45876878 0.         0.54123122 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53905527 0.         0.46094473]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21082898 0.         0.1229439  0.08271486 0.58351226]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36131794 0.12015963 0.44251451 0.07600791]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18695604 0.33294735 0.4800966 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64812081 0.21553859 0.         0.1363406 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13009877 0.46371718 0.28249034 0.12369371]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35959766 0.64040234 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24259357 0.         0.52675628 0.23065015]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50620693 0.         0.29519213 0.19860094 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.59780533 0.40219467 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11082848 0.60516917 0.12122975 0.16277259]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24108084 0.5768973  0.18202186]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28069866 0.         0.30704227 0.41225907]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414333 0.31798092 0.24170013 0.26617562]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56979273 0.         0.43020727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69547374 0.30452626]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25533499 0.         0.3543891  0.39027591]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47758909 0.         0.52241091 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75043566 0.24956434 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49961346 0.17813733 0.32224922]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73716397 0.26283603 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41877136 0.         0.58122864 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48989523 0.51010477]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18840739 0.10634967 0.10986886 0.07391816 0.52145593]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10275852 0.06257569 0.12122908 0.7134367 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7991526  0.09839419 0.10245322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11082848 0.60516917 0.12122975 0.16277259]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24108084 0.5768973  0.18202186]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28069866 0.         0.30704227 0.41225907]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13103824 0.1353744  0.09107791 0.64250945]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36131794 0.12015963 0.44251451 0.07600791]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36655023 0.37867965 0.25477012 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24800137 0.53993331 0.21206532]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35858926 0.21836603 0.4230447  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53905527 0.         0.46094473]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.59780533 0.40219467 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13009877 0.46371718 0.28249034 0.12369371]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18695604 0.33294735 0.4800966 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18813686 0.69285572 0.11900743]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35959766 0.64040234 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24259357 0.         0.52675628 0.23065015]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61253576 0.         0.38746424]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42257103 0.28849128 0.10286165 0.18607603]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17195083 0.15642412 0.67162505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49961346 0.17813733 0.32224922]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35599943 0.64400057]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.31532283 0.         0.68467717 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.42686181 0.57313819]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88636584 0.         0.11363416]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62152001 0.37847999 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52364173 0.47635827 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414333 0.31798092 0.24170013 0.26617562]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.38503161 0.29266595 0.32230244]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.56814667 0.43185333 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56979273 0.         0.43020727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18840739 0.10634967 0.10986886 0.07391816 0.52145593]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24800137 0.53993331 0.21206532]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21082898 0.         0.1229439  0.08271486 0.58351226]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36131794 0.12015963 0.44251451 0.07600791]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50620693 0.         0.29519213 0.19860094 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10275852 0.06257569 0.12122908 0.7134367 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.71799773 0.28200227]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11693437 0.07120819 0.         0.81185744]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7991526  0.09839419 0.10245322]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62152001 0.37847999 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.59780533 0.40219467 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13009877 0.46371718 0.28249034 0.12369371]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24108084 0.5768973  0.18202186]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18131988 0.64628702 0.         0.1723931 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18695604 0.33294735 0.4800966 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18813686 0.69285572 0.11900743]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42257103 0.28849128 0.10286165 0.18607603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85341442 0.14658558]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35959766 0.64040234 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51261868 0.         0.         0.48738132]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11082848 0.60516917 0.12122975 0.16277259]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76015646 0.23984354]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28069866 0.         0.30704227 0.41225907]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414333 0.31798092 0.24170013 0.26617562]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25533499 0.         0.3543891  0.39027591]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47758909 0.         0.52241091 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17195083 0.15642412 0.67162505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51917753 0.354445   0.12637747 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52364173 0.47635827 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48989523 0.51010477]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41877136 0.         0.58122864 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73716397 0.26283603 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18840739 0.10634967 0.10986886 0.07391816 0.52145593]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24800137 0.53993331 0.21206532]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17195083 0.15642412 0.67162505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42257103 0.28849128 0.10286165 0.18607603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36131794 0.12015963 0.44251451 0.07600791]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51917753 0.354445   0.12637747 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52364173 0.47635827 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31474865 0.68525135 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21082898 0.         0.1229439  0.08271486 0.58351226]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11082848 0.60516917 0.12122975 0.16277259]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414333 0.31798092 0.24170013 0.26617562]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73716397 0.26283603 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18695604 0.33294735 0.4800966 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13009877 0.46371718 0.28249034 0.12369371]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22984018 0.         0.13403019 0.         0.63612963]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10275852 0.06257569 0.12122908 0.7134367 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7991526  0.09839419 0.10245322]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35858926 0.21836603 0.4230447  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.17402906 0.         0.82597094]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41066307 0.         0.50294864 0.08638829]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.53306877 0.32473841 0.14219282]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2802718 0.        0.7197282]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.38503161 0.29266595 0.32230244]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1323756  0.72282532 0.14479907 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24108084 0.5768973  0.18202186]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47758909 0.         0.52241091 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69547374 0.30452626]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56979273 0.         0.43020727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85341442 0.14658558]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.56814667 0.43185333 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48989523 0.51010477]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34044649 0.65955351 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 22, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18223779 0.10419065 0.10901892 0.07634893 0.52820371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42175115 0.1134173  0.39070421 0.07412734]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38626372 0.2208382  0.23107202 0.16182605 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25330847 0.508928   0.23776353]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16540214 0.14967559 0.68492227]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33232268 0.66767732 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09516704 0.05902492 0.13327234 0.71253569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78047148 0.11942971 0.10009881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3310569  0.20532957 0.46361352 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.49574263 0.         0.29656488 0.20769249 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.30694625 0.69305375 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.58812205 0.41187795 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13255612 0.47328774 0.27129382 0.12286232]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.197627  0.3489224 0.4534506]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19613926 0.67566794 0.1281928 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36159037 0.63840963 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40468406 0.30207204 0.09968899 0.19355491]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25166705 0.         0.51507026 0.23326269]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60474828 0.         0.39525172]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57983643 0.         0.14283565 0.27732793]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19451652 0.         0.80548348]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33995247 0.66004753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.32823113 0.         0.67176887 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20446593 0.63718728 0.15834678]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16959505 0.32255774 0.23839517 0.26945204]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2429337 0.7570663 0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11288166 0.59970208 0.14964197 0.13777429]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25034613 0.         0.35190478 0.39774909]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.67601136 0.16868321 0.15530543]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.52064545 0.47935455]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41568411 0.         0.58431589 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.54402824 0.45597176]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18223779 0.10419065 0.10901892 0.07634893 0.52820371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42175115 0.1134173  0.39070421 0.07412734]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40468406 0.30207204 0.09968899 0.19355491]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.197627  0.3489224 0.4534506]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13255612 0.47328774 0.27129382 0.12286232]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.47570424 0.         0.44068558 0.08361018]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30353832 0.         0.69646168]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.85051309 0.         0.         0.14948691]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38626372 0.2208382  0.23107202 0.16182605 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15112351 0.53958203 0.30929446 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20446593 0.63718728 0.15834678]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11288166 0.59970208 0.14964197 0.13777429]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5635578 0.        0.4364422]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21879585 0.78120415 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57983643 0.         0.14283565 0.27732793]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16540214 0.14967559 0.68492227]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33995247 0.66004753]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16959505 0.32255774 0.23839517 0.26945204]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25034613 0.         0.35190478 0.39774909]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28199411 0.         0.3738265  0.34417939]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41568411 0.         0.58431589 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78047148 0.11942971 0.10009881]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50234057 0.28720272 0.         0.21045671 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09516704 0.05902492 0.13327234 0.71253569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86728575 0.13271425 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3310569  0.20532957 0.46361352 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25330847 0.508928   0.23776353]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61719845 0.38280155 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52495662 0.47504338 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51582755 0.         0.48417245]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.57710695 0.         0.42289305 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42998666 0.         0.57001334 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18223779 0.10419065 0.10901892 0.07634893 0.52820371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42175115 0.1134173  0.39070421 0.07412734]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.197627  0.3489224 0.4534506]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13255612 0.47328774 0.27129382 0.12286232]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30353832 0.         0.69646168]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40468406 0.30207204 0.09968899 0.19355491]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16540214 0.14967559 0.68492227]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50741466 0.1674556  0.32512973]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.69219442 0.18614489 0.         0.12166068]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38626372 0.2208382  0.23107202 0.16182605 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09516704 0.05902492 0.13327234 0.71253569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78047148 0.11942971 0.10009881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3310569  0.20532957 0.46361352 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25330847 0.508928   0.23776353]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35982589 0.37650051 0.2636736  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.6815773 0.3184227]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61719845 0.38280155 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52495662 0.47504338 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.58812205 0.41187795 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25166705 0.         0.51507026 0.23326269]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20446593 0.63718728 0.15834678]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11288166 0.59970208 0.14964197 0.13777429]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5635578 0.        0.4364422]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16959505 0.32255774 0.23839517 0.26945204]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28199411 0.         0.3738265  0.34417939]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23214773 0.4415285  0.32632377 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.54402824 0.45597176]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42998666 0.         0.57001334 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34459837 0.65540163 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51897632 0.         0.         0.48102368]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60474828 0.         0.39525172]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33995247 0.66004753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18223779 0.10419065 0.10901892 0.07634893 0.52820371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42175115 0.1134173  0.39070421 0.07412734]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.197627  0.3489224 0.4534506]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13255612 0.47328774 0.27129382 0.12286232]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30353832 0.         0.69646168]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.69219442 0.18614489 0.         0.12166068]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38626372 0.2208382  0.23107202 0.16182605 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25330847 0.508928   0.23776353]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16540214 0.14967559 0.68492227]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40468406 0.30207204 0.09968899 0.19355491]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57983643 0.         0.14283565 0.27732793]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16959505 0.32255774 0.23839517 0.26945204]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20446593 0.63718728 0.15834678]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11288166 0.59970208 0.14964197 0.13777429]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5635578 0.        0.4364422]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25166705 0.         0.51507026 0.23326269]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25034613 0.         0.35190478 0.39774909]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78047148 0.11942971 0.10009881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09516704 0.05902492 0.13327234 0.71253569]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.49574263 0.         0.29656488 0.20769249 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.06523295 0.14728944 0.78747761]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.54402824 0.45597176]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38627986 0.         0.         0.61372014]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.67645887 0.         0.         0.32354113]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52495662 0.47504338 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33232268 0.66767732 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.58812205 0.41187795 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51897632 0.         0.         0.48102368]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28199411 0.         0.3738265  0.34417939]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.30694625 0.69305375 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.52064545 0.47935455]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60474828 0.         0.39525172]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18223779 0.10419065 0.10901892 0.07634893 0.52820371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42175115 0.1134173  0.39070421 0.07412734]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.197627  0.3489224 0.4534506]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.69219442 0.18614489 0.         0.12166068]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38626372 0.2208382  0.23107202 0.16182605 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25330847 0.508928   0.23776353]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09516704 0.05902492 0.13327234 0.71253569]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16540214 0.14967559 0.68492227]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40468406 0.30207204 0.09968899 0.19355491]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36159037 0.63840963 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13255612 0.47328774 0.27129382 0.12286232]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20446593 0.63718728 0.15834678]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16959505 0.32255774 0.23839517 0.26945204]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78047148 0.11942971 0.10009881]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11288166 0.59970208 0.14964197 0.13777429]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2429337 0.7570663 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28199411 0.         0.3738265  0.34417939]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88632502 0.         0.11367498]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22268116 0.42352376 0.         0.35379508]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57983643 0.         0.14283565 0.27732793]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54485204 0.         0.45514796]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18190613 0.6494905  0.         0.16860337]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.49574263 0.         0.29656488 0.20769249 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45034501 0.         0.         0.54965499]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62569473 0.         0.37430527 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.79390706 0.         0.20609294]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.67645887 0.         0.         0.32354113]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52495662 0.47504338 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51582755 0.         0.48417245]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10113662 0.         0.14163217 0.75723121]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.41659648 0.         0.58340352 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60474828 0.         0.39525172]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 23, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17269243 0.12227184 0.11656443 0.0922301  0.4962412 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37962684 0.13492235 0.41185694 0.07359386]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19719099 0.34667895 0.45613006]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12073026 0.48952021 0.26336414 0.1263854 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21338343 0.6187354  0.16788116]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.121716   0.60171948 0.132593   0.14397151]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55967283 0.         0.44032717]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16389408 0.66453486 0.         0.17157106]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34280778 0.24271901 0.23138936 0.18308385 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.79479746 0.         0.20520254]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64546684 0.22940397 0.         0.12512919]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44600967 0.3157893  0.         0.23820104 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30560371 0.         0.3329136  0.36148268]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78403975 0.11042875 0.1055315 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10416388 0.08365958 0.13828379 0.67389275]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58546899 0.41453101 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28261082 0.50603984 0.21134934]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.09338715 0.15436282 0.75225003]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.5113383 0.4886617]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1771797  0.3212757  0.23348737 0.26805723]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45811714 0.         0.         0.54188286]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.        0.3769411 0.6230589 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57213282 0.         0.42786718]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21144028 0.15991452 0.62864521]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.440171   0.27933776 0.10208978 0.17840147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64705927 0.         0.35294073]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.53574949 0.33999301 0.1242575  0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2420677  0.43893555 0.31899675 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.61176601 0.38823399 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56937538 0.43062462 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30182861 0.         0.69817139]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.57912237 0.42087763 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17269243 0.12227184 0.11656443 0.0922301  0.4962412 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37962684 0.13492235 0.41185694 0.07359386]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34280778 0.24271901 0.23138936 0.18308385 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12073026 0.48952021 0.26336414 0.1263854 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19719099 0.34667895 0.45613006]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2365035  0.         0.51591492 0.24758159]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21338343 0.6187354  0.16788116]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.121716   0.60171948 0.132593   0.14397151]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44600967 0.3157893  0.         0.23820104 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28261082 0.50603984 0.21134934]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10416388 0.08365958 0.13828379 0.67389275]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78403975 0.11042875 0.1055315 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31941603 0.25654007 0.4240439  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.65186011 0.         0.         0.34813989 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.        0.3769411 0.6230589 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57213282 0.         0.42786718]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21144028 0.15991452 0.62864521]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.440171   0.27933776 0.10208978 0.17840147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.2174858  0.66388582 0.11862838]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.53574949 0.33999301 0.1242575  0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56937538 0.43062462 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.68510811 0.15096826 0.16392364]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55967283 0.         0.44032717]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48855771 0.         0.         0.51144229]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.84840099 0.15159901]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30182861 0.         0.69817139]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73234816 0.26765184 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47942884 0.52057116]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.5113383 0.4886617]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1771797  0.3212757  0.23348737 0.26805723]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2420677  0.43893555 0.31899675 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.57912237 0.42087763 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17269243 0.12227184 0.11656443 0.0922301  0.4962412 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28261082 0.50603984 0.21134934]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21144028 0.15991452 0.62864521]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.440171   0.27933776 0.10208978 0.17840147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37962684 0.13492235 0.41185694 0.07359386]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.53574949 0.33999301 0.1242575  0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19719099 0.34667895 0.45613006]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.43883557 0.         0.47609246 0.08507197]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36257011 0.63742989 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.81173305 0.         0.18826695 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1771797  0.3212757  0.23348737 0.26805723]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78403975 0.11042875 0.1055315 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.121716   0.60171948 0.132593   0.14397151]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21338343 0.6187354  0.16788116]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12073026 0.48952021 0.26336414 0.1263854 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19674934 0.         0.13280242 0.10507821 0.56537004]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.83762025 0.         0.         0.16237975]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4526824  0.         0.30555285 0.24176475 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10416388 0.08365958 0.13828379 0.67389275]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56937538 0.43062462 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11367378 0.         0.15090875 0.73541746]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88136813 0.         0.11863187]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2311504  0.41913947 0.         0.34971013]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30560371 0.         0.3329136  0.36148268]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35545748 0.64454252 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35834728 0.64165272 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42963449 0.         0.57036551 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.55827338 0.44172662 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.55673497 0.29952599 0.14373905]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78657815 0.21342185]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.4786146 0.        0.5213854 0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.79479746 0.         0.20520254]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17269243 0.12227184 0.11656443 0.0922301  0.4962412 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10416388 0.08365958 0.13828379 0.67389275]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78403975 0.11042875 0.1055315 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31941603 0.25654007 0.4240439  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.1477949  0.14089612 0.11148224 0.59982674]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37962684 0.13492235 0.41185694 0.07359386]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19719099 0.34667895 0.45613006]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12073026 0.48952021 0.26336414 0.1263854 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30182861 0.         0.69817139]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64546684 0.22940397 0.         0.12512919]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36932727 0.35208779 0.27858493 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2365035  0.         0.51591492 0.24758159]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21338343 0.6187354  0.16788116]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.121716   0.60171948 0.132593   0.14397151]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.5113383 0.4886617]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14032168 0.69369914 0.         0.16597919]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55967283 0.         0.44032717]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1771797  0.3212757  0.23348737 0.26805723]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45811714 0.         0.         0.54188286]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.57002673 0.         0.42997327 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28261082 0.50603984 0.21134934]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.        0.3769411 0.6230589 0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21144028 0.15991452 0.62864521]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.440171   0.27933776 0.10208978 0.17840147]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56937538 0.43062462 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57213282 0.         0.42786718]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2420677  0.43893555 0.31899675 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35545748 0.64454252 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48855771 0.         0.         0.51144229]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49896978 0.18235886 0.31867136]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64705927 0.         0.35294073]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73234816 0.26765184 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17269243 0.12227184 0.11656443 0.0922301  0.4962412 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37962684 0.13492235 0.41185694 0.07359386]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34280778 0.24271901 0.23138936 0.18308385 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10416388 0.08365958 0.13828379 0.67389275]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78403975 0.11042875 0.1055315 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31941603 0.25654007 0.4240439  0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21144028 0.15991452 0.62864521]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.440171   0.27933776 0.10208978 0.17840147]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56937538 0.43062462 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42963449 0.         0.57036551 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28261082 0.50603984 0.21134934]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36932727 0.35208779 0.27858493 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12073026 0.48952021 0.26336414 0.1263854 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19719099 0.34667895 0.45613006]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.2174858  0.66388582 0.11862838]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36257011 0.63742989 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2365035  0.         0.51591492 0.24758159]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.57002673 0.         0.42997327 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.121716   0.60171948 0.132593   0.14397151]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21338343 0.6187354  0.16788116]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.67572663 0.32427337]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78657815 0.21342185]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30560371 0.         0.3329136  0.36148268]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57213282 0.         0.42786718]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.5113383 0.4886617]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47942884 0.52057116]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1771797  0.3212757  0.23348737 0.26805723]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49896978 0.18235886 0.31867136]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36396779 0.63603221]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64705927 0.         0.35294073]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2311504  0.41913947 0.         0.34971013]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35545748 0.64454252 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
Iteration 24, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15968098 0.12004209 0.09862691 0.10639646 0.51525356]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1151063  0.50280196 0.2611415  0.12095024]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17715304 0.13317691 0.         0.11803821 0.57163184]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38414977 0.14776001 0.39911923 0.068971  ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22324307 0.33418593 0.44257099]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63931114 0.2459057  0.         0.11478316]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.56820606 0.29511058 0.13668336]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40048701 0.59951299 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68345235 0.31654765]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20828577 0.62649006 0.16522417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10914983 0.61082606 0.13279969 0.14722441]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81285911 0.08735101 0.09978987]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11020727 0.07339778 0.15124041 0.66515454]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46676606 0.53323394]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16613582 0.34274519 0.22765909 0.2634599 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12586462 0.7043656  0.         0.16976979]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55764451 0.         0.44235549]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2255625  0.46534491 0.30909259 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42574414 0.         0.         0.57425586]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.32647283 0.67352717 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.72220851 0.27779149 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41355323 0.31089359 0.         0.27555318 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57085382 0.42914618 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31462063 0.4803519  0.20502747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32912876 0.21919898 0.45167226 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.60544939 0.         0.39455061]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60024094 0.39975906 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20962968 0.14969432 0.640676  ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41693418 0.3033661  0.10046247 0.17923725]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59849826 0.         0.14421128 0.25729046]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58340016 0.41659984 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35917972 0.64082028]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15968098 0.12004209 0.09862691 0.10639646 0.51525356]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11020727 0.07339778 0.15124041 0.66515454]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81285911 0.08735101 0.09978987]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32912876 0.21919898 0.45167226 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14285299 0.11736841 0.12661437 0.61316422]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31462063 0.4803519  0.20502747]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.13692915 0.14771605 0.7153548 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38414977 0.14776001 0.39911923 0.068971  ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22324307 0.33418593 0.44257099]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63931114 0.2459057  0.         0.11478316]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.48105203 0.51894797 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1151063  0.50280196 0.2611415  0.12095024]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40048701 0.59951299 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23150995 0.         0.52522633 0.24326372]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20828577 0.62649006 0.16522417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10914983 0.61082606 0.13279969 0.14722441]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55764451 0.         0.44235549]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48762172 0.         0.         0.51237828]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.68176682 0.         0.31823318]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28046543 0.         0.34123479 0.37829978]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16613582 0.34274519 0.22765909 0.2634599 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47424378 0.52575622]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2255625  0.46534491 0.30909259 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42188413 0.         0.57811587 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46676606 0.53323394]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41693418 0.3033661  0.10046247 0.17923725]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59849826 0.         0.14421128 0.25729046]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20962968 0.14969432 0.640676  ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35917972 0.64082028]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.32673778 0.67326222 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58340016 0.41659984 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.7008555 0.2991445]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15968098 0.12004209 0.09862691 0.10639646 0.51525356]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38414977 0.14776001 0.39911923 0.068971  ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22324307 0.33418593 0.44257099]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63931114 0.2459057  0.         0.11478316]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32941135 0.24763892 0.20346082 0.2194889  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11020727 0.07339778 0.15124041 0.66515454]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31462063 0.4803519  0.20502747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1298451  0.08647653 0.         0.78367837]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81285911 0.08735101 0.09978987]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60024094 0.39975906 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36928588 0.3034063  0.32730781 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1151063  0.50280196 0.2611415  0.12095024]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40048701 0.59951299 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23150995 0.         0.52522633 0.24326372]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20828577 0.62649006 0.16522417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10914983 0.61082606 0.13279969 0.14722441]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53013096 0.         0.46986904 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.68566644 0.14907073 0.16526282]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55764451 0.         0.44235549]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48762172 0.         0.         0.51237828]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.60544939 0.         0.39455061]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.68176682 0.         0.31823318]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41693418 0.3033661  0.10046247 0.17923725]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16613582 0.34274519 0.22765909 0.2634599 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25277232 0.         0.34637873 0.40084895]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47424378 0.52575622]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42188413 0.         0.57811587 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50798381 0.36961485 0.12240135 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80583085 0.         0.19416915 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20962968 0.14969432 0.640676  ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.        0.1893977 0.8106023]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46676606 0.53323394]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15968098 0.12004209 0.09862691 0.10639646 0.51525356]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38414977 0.14776001 0.39911923 0.068971  ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32941135 0.24763892 0.20346082 0.2194889  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10914983 0.61082606 0.13279969 0.14722441]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20828577 0.62649006 0.16522417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28046543 0.         0.34123479 0.37829978]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16613582 0.34274519 0.22765909 0.2634599 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55764451 0.         0.44235549]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25277232 0.         0.34637873 0.40084895]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45112647 0.         0.54887353 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81285911 0.08735101 0.09978987]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11020727 0.07339778 0.15124041 0.66515454]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46676606 0.53323394]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4220457 0.3172779 0.2606764 0.        0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1151063  0.50280196 0.2611415  0.12095024]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57085382 0.42914618 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32912876 0.21919898 0.45167226 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31462063 0.4803519  0.20502747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.32673778 0.67326222 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.60544939 0.         0.39455061]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20962968 0.14969432 0.640676  ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41693418 0.3033661  0.10046247 0.17923725]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58340016 0.41659984 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42188413 0.         0.57811587 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.56820606 0.29511058 0.13668336]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22324307 0.33418593 0.44257099]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.23992847 0.6480784  0.11199313]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40048701 0.59951299 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.52029477 0.17230039 0.30740484]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.68176682 0.         0.31823318]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.75122496 0.24877504 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68345235 0.31654765]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15968098 0.12004209 0.09862691 0.10639646 0.51525356]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11020727 0.07339778 0.15124041 0.66515454]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81285911 0.08735101 0.09978987]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32912876 0.21919898 0.45167226 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14285299 0.11736841 0.12661437 0.61316422]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38414977 0.14776001 0.39911923 0.068971  ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41693418 0.3033661  0.10046247 0.17923725]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.45075304 0.         0.46831789 0.08092908]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22324307 0.33418593 0.44257099]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50798381 0.36961485 0.12240135 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43023232 0.56976768]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.84778672 0.         0.         0.15221328]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36928588 0.3034063  0.32730781 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1151063  0.50280196 0.2611415  0.12095024]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20828577 0.62649006 0.16522417]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16613582 0.34274519 0.22765909 0.2634599 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80583085 0.         0.19416915 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20962968 0.14969432 0.640676  ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.4110324  0.27301699 0.31595062]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10914983 0.61082606 0.13279969 0.14722441]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24951102 0.75048898 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15578936 0.68051185 0.         0.16369879]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48762172 0.         0.         0.51237828]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53013096 0.         0.46986904 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31462063 0.4803519  0.20502747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.32673778 0.67326222 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.60544939 0.         0.39455061]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58340016 0.41659984 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28046543 0.         0.34123479 0.37829978]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.60088117 0.39911883 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46676606 0.53323394]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45112647 0.         0.54887353 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
Iteration 25, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15901315 0.12156504 0.10000193 0.11665876 0.50276112]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30474113 0.47102492 0.22423395]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1810187  0.         0.11384102 0.13280295 0.57233734]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34577259 0.17110609 0.39769848 0.08542285]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2264802  0.33219238 0.44132742]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10643189 0.48411966 0.29737228 0.11207617]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33913989 0.         0.66086011]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.57408553 0.28408709 0.         0.14182738]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39856655 0.29362426 0.10430332 0.20350587]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56424155 0.         0.14765983 0.28809861]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17744492 0.29691335 0.23065056 0.29499118]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.66199104 0.         0.         0.33800896]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20438497 0.17310998 0.62250505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80189297 0.         0.         0.19810703]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42327449 0.         0.26619349 0.31053202 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12142414 0.58265637 0.1230837  0.1728358 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20105289 0.59550211 0.203445  ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.3609647  0.28040743 0.35862787]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25240302 0.74759698 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29094523 0.         0.29492171 0.41413307]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61391465 0.         0.38608535 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11188354 0.07087112 0.13494869 0.68229665]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67748135 0.32251865]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54142439 0.45857561 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12933746 0.08192707 0.         0.78873547]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75730473 0.13741145 0.10528382]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61220623 0.38779377 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20631119 0.         0.57643654 0.21725227]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.56618922 0.43381078]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.41593643 0.58406357]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.43879803 0.56120197]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.72627525 0.27372475]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15901315 0.12156504 0.10000193 0.11665876 0.50276112]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34577259 0.17110609 0.39769848 0.08542285]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31979228 0.24448016 0.20111446 0.2346131  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12142414 0.58265637 0.1230837  0.1728358 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20105289 0.59550211 0.203445  ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29094523 0.         0.29492171 0.41413307]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17744492 0.29691335 0.23065056 0.29499118]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.49704311 0.         0.50295689]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25237987 0.         0.32805424 0.41956589]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49660633 0.         0.50339367 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75730473 0.13741145 0.10528382]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11188354 0.07087112 0.13494869 0.68229665]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30474113 0.47102492 0.22423395]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41781781 0.31942036 0.26276183 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12933746 0.08192707 0.         0.78873547]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.56618922 0.43381078]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43481227 0.         0.56518773 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39856655 0.29362426 0.10430332 0.20350587]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.26153916 0.60789027 0.13057057]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2264802  0.33219238 0.44132742]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10643189 0.48411966 0.29737228 0.11207617]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54866048 0.45133952 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67748135 0.32251865]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61220623 0.38779377 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.54178261 0.33279195 0.12542544]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.        0.8120145 0.        0.1879855]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.66700502 0.         0.33299498]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33913989 0.         0.66086011]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50040111 0.36864585 0.13095304 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79258387 0.         0.20741613 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20438497 0.17310998 0.62250505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54142439 0.45857561 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15901315 0.12156504 0.10000193 0.11665876 0.50276112]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11188354 0.07087112 0.13494869 0.68229665]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30474113 0.47102492 0.22423395]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12933746 0.08192707 0.         0.78873547]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75730473 0.13741145 0.10528382]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61220623 0.38779377 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20438497 0.17310998 0.62250505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39856655 0.29362426 0.10430332 0.20350587]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54142439 0.45857561 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57609732 0.         0.42390268]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14455046 0.11891022 0.1387165  0.59782281]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.13900319 0.16215627 0.69884054]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10643189 0.48411966 0.29737228 0.11207617]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34577259 0.17110609 0.39769848 0.08542285]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2264802  0.33219238 0.44132742]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.57408553 0.28408709 0.         0.14182738]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48820739 0.17342455 0.33836806]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80189297 0.         0.         0.19810703]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.        0.        0.1883355 0.8116645]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11986601 0.54522657 0.33490742 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40538987 0.59461013 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73788365 0.26211635 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26357303 0.         0.73642697 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20105289 0.59550211 0.203445  ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17744492 0.29691335 0.23065056 0.29499118]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.56618922 0.43381078]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12142414 0.58265637 0.1230837  0.1728358 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23064281 0.38592781 0.         0.38342938]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25240302 0.74759698 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14679569 0.7044023  0.14880201 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3755956 0.        0.        0.6244044]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.82559627 0.17440373 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15901315 0.12156504 0.10000193 0.11665876 0.50276112]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12142414 0.58265637 0.1230837  0.1728358 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20105289 0.59550211 0.203445  ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10643189 0.48411966 0.29737228 0.11207617]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2264802  0.33219238 0.44132742]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20631119 0.         0.57643654 0.21725227]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.74535861 0.25464139]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29094523 0.         0.29492171 0.41413307]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75730473 0.13741145 0.10528382]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41264244 0.         0.         0.58735756]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17744492 0.29691335 0.23065056 0.29499118]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25237987 0.         0.32805424 0.41956589]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39856655 0.29362426 0.10430332 0.20350587]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20438497 0.17310998 0.62250505]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11188354 0.07087112 0.13494869 0.68229665]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.21758008 0.78241992]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48820739 0.17342455 0.33836806]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34577259 0.17110609 0.39769848 0.08542285]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18001328 0.13761957 0.11320872 0.         0.56915844]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.26153916 0.60789027 0.13057057]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33913989 0.         0.66086011]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.66700502 0.         0.33299498]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73788365 0.26211635 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.43879803 0.56120197]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87794433 0.         0.12205567]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12041767 0.         0.14524217 0.73434016]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41781781 0.31942036 0.26276183 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30474113 0.47102492 0.22423395]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.39282607 0.60717393 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61391465 0.         0.38608535 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.45327767 0.         0.54672233 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48708449 0.         0.         0.51291551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15901315 0.12156504 0.10000193 0.11665876 0.50276112]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34577259 0.17110609 0.39769848 0.08542285]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39856655 0.29362426 0.10430332 0.20350587]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2264802  0.33219238 0.44132742]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10643189 0.48411966 0.29737228 0.11207617]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20105289 0.59550211 0.203445  ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12142414 0.58265637 0.1230837  0.1728358 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17744492 0.29691335 0.23065056 0.29499118]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75730473 0.13741145 0.10528382]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11188354 0.07087112 0.13494869 0.68229665]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.56618922 0.43381078]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14679569 0.7044023  0.14880201 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.49704311 0.         0.50295689]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23064281 0.38592781 0.         0.38342938]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15147693 0.68901304 0.         0.15951004]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33913989 0.         0.66086011]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41714939 0.         0.47979418 0.10305643]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56424155 0.         0.14765983 0.28809861]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80189297 0.         0.         0.19810703]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31979228 0.24448016 0.20111446 0.2346131  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35216355 0.22307325 0.42476321 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30474113 0.47102492 0.22423395]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35941985 0.29566624 0.34491391 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49660633 0.         0.50339367 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54866048 0.45133952 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67748135 0.32251865]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20438497 0.17310998 0.62250505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79258387 0.         0.20741613 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54142439 0.45857561 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61220623 0.38779377 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48708449 0.         0.         0.51291551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3755956 0.        0.        0.6244044]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 26, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19161033 0.1187005  0.1096845  0.11915549 0.46084917]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27623551 0.46706963 0.25669486]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10776369 0.07988903 0.13037284 0.68197444]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80111443 0.10399365 0.09489192]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10821054 0.64120927 0.10095102 0.14962917]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17537544 0.5841803  0.24044426]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10056708 0.46722534 0.32618463 0.10602295]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22949304 0.31200244 0.45850452]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35705557 0.1510205  0.40235563 0.08956831]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.37315514 0.31592939 0.08777827 0.2231372 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16218811 0.32496122 0.22085127 0.2919994 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.70841972 0.29158028]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30159793 0.         0.28136463 0.41703744]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21741795 0.         0.12445769 0.13520431 0.52292004]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.4205703  0.         0.47392856 0.10550114]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45572645 0.         0.26087386 0.2833997  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3388523  0.25120317 0.40994453 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51833322 0.         0.48166678]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.47930651 0.52069349 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18876101 0.         0.61223751 0.19900148]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.40286912 0.59713088]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24026488 0.         0.32716827 0.43256685]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89409459 0.         0.10590541]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57427194 0.42572806 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15216729 0.14593628 0.70189643]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.17212863 0.82787137]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40906189 0.3463296  0.         0.24460851]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42342412 0.         0.57657588 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.58606746 0.         0.41393254]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4238134 0.5761866 0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.75469438 0.24530562]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.81792245 0.18207755]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19161033 0.1187005  0.1096845  0.11915549 0.46084917]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10821054 0.64120927 0.10095102 0.14962917]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17537544 0.5841803  0.24044426]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16218811 0.32496122 0.22085127 0.2919994 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23089213 0.76910787 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10056708 0.46722534 0.32618463 0.10602295]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30159793 0.         0.28136463 0.41703744]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24026488 0.         0.32716827 0.43256685]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.51735386 0.         0.48264614 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21753026 0.13475761 0.12452198 0.         0.52319016]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14925021 0.69340261 0.         0.15734718]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22949304 0.31200244 0.45850452]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35705557 0.1510205  0.40235563 0.08956831]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24847027 0.15392461 0.         0.         0.59760513]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27623551 0.46706963 0.25669486]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29367391 0.         0.         0.         0.70632609]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10776369 0.07988903 0.13037284 0.68197444]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80111443 0.10399365 0.09489192]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3388523  0.25120317 0.40994453 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.64533372 0.35466628]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57427194 0.42572806 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.23488888 0.62580156 0.13930956]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4238134 0.5761866 0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48679543 0.         0.         0.51320457]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52288184 0.47711816]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42342412 0.         0.57657588 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15216729 0.14593628 0.70189643]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.17212863 0.82787137]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.37315514 0.31592939 0.08777827 0.2231372 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62771207 0.         0.37228793]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.48033597 0.40667334 0.1129907  0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.78256972 0.21743028 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19161033 0.1187005  0.1096845  0.11915549 0.46084917]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35705557 0.1510205  0.40235563 0.08956831]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35539282 0.22016195 0.20343936 0.22100587 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10821054 0.64120927 0.10095102 0.14962917]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17537544 0.5841803  0.24044426]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30159793 0.         0.28136463 0.41703744]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80111443 0.10399365 0.09489192]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10776369 0.07988903 0.13037284 0.68197444]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52288184 0.47711816]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16218811 0.32496122 0.22085127 0.2919994 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41968145 0.         0.         0.58031855]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45622015 0.28262338 0.26115647 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10056708 0.46722534 0.32618463 0.10602295]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.42175837 0.         0.57824163]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22907906 0.45898438 0.31193656 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.37315514 0.31592939 0.08777827 0.2231372 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22949304 0.31200244 0.45850452]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.23488888 0.62580156 0.13930956]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.54549214 0.         0.12831755 0.3261903 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.59537153 0.40462847 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14925021 0.69340261 0.         0.15734718]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4238134 0.5761866 0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.62579228 0.         0.         0.37420772]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.81792245 0.18207755]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48679543 0.         0.         0.51320457]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61747871 0.38252129 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27623551 0.46706963 0.25669486]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15216729 0.14593628 0.70189643]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51045108 0.48954892 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.37163138 0.62836862 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3388523  0.25120317 0.40994453 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.45252902 0.         0.54747098 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19161033 0.1187005  0.1096845  0.11915549 0.46084917]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27623551 0.46706963 0.25669486]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10776369 0.07988903 0.13037284 0.68197444]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80111443 0.10399365 0.09489192]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3388523  0.25120317 0.40994453 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21741795 0.         0.12445769 0.13520431 0.52292004]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35705557 0.1510205  0.40235563 0.08956831]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10056708 0.46722534 0.32618463 0.10602295]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22949304 0.31200244 0.45850452]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.37315514 0.31592939 0.08777827 0.2231372 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40493137 0.59506863]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39218271 0.1658779  0.44193939 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45572645 0.         0.26087386 0.2833997  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.37995015 0.62004985 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15216729 0.14593628 0.70189643]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.54549214 0.         0.12831755 0.3261903 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.2729075 0.7270925 0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.8095641 0.        0.1904359 0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51045108 0.48954892 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51833322 0.         0.48166678]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.47930651 0.52069349 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10821054 0.64120927 0.10095102 0.14962917]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17537544 0.5841803  0.24044426]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30159793 0.         0.28136463 0.41703744]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18876101 0.         0.61223751 0.19900148]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.42175837 0.         0.57824163]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16218811 0.32496122 0.22085127 0.2919994 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48679543 0.         0.         0.51320457]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.40286912 0.59713088]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52288184 0.47711816]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24026488 0.         0.32716827 0.43256685]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42342412 0.         0.57657588 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19161033 0.1187005  0.1096845  0.11915549 0.46084917]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35705557 0.1510205  0.40235563 0.08956831]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35539282 0.22016195 0.20343936 0.22100587 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10056708 0.46722534 0.32618463 0.10602295]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44615915 0.2763907  0.         0.27745014 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10821054 0.64120927 0.10095102 0.14962917]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17537544 0.5841803  0.24044426]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30159793 0.         0.28136463 0.41703744]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80111443 0.10399365 0.09489192]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10776369 0.07988903 0.13037284 0.68197444]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52288184 0.47711816]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41968145 0.         0.         0.58031855]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61747871 0.38252129 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3388523  0.25120317 0.40994453 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27623551 0.46706963 0.25669486]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.37995015 0.62004985 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51833322 0.         0.48166678]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.23488888 0.62580156 0.13930956]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22949304 0.31200244 0.45850452]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.51946657 0.36265588 0.11787755]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33356665 0.         0.66643335]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62771207 0.         0.37228793]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.75469438 0.24530562]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.42175837 0.         0.57824163]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.37315514 0.31592939 0.08777827 0.2231372 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15216729 0.14593628 0.70189643]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.17212863 0.82787137]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50399933 0.14003189 0.35596878]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.78256972 0.21743028 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16218811 0.32496122 0.22085127 0.2919994 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22907906 0.45898438 0.31193656 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.59537153 0.40462847 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
Iteration 27, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14896384 0.11082768 0.0976203  0.11177038 0.5308178 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30651837 0.12080887 0.48884679 0.08382597]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31749678 0.23621458 0.20806481 0.23822383 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10582566 0.07742735 0.13897386 0.67777313]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34610032 0.30485542 0.34904426 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24110369 0.50794515 0.25095116]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.        0.4662113 0.5337887 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09823607 0.63898827 0.11869603 0.14407963]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19214897 0.57308254 0.23476849]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15727229 0.34040409 0.23130793 0.27101569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25109914 0.74890086 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11338163 0.51413297 0.2670902  0.10539521]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19162574 0.36662484 0.44174942]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.1742063  0.70491671 0.12087699]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42464362 0.30173639 0.08172654 0.19189345]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34326116 0.65673884 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60814227 0.         0.11704253 0.2748152 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17379332 0.12817537 0.69803132]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.29868629 0.70131371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85362326 0.14637674]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23335938 0.         0.54971871 0.21692192]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.71704876 0.28295124]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27211323 0.         0.32878718 0.39909959]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80541123 0.09596836 0.09862041]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08659089 0.15542144 0.75798767]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49318548 0.50681452]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40540529 0.         0.         0.59459471]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23843734 0.         0.35068126 0.4108814 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36721155 0.         0.         0.63278845]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.57553424 0.42446576 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66932089 0.33067911]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35779536 0.64220464 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14896384 0.11082768 0.0976203  0.11177038 0.5308178 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30651837 0.12080887 0.48884679 0.08382597]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19162574 0.36662484 0.44174942]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59966046 0.23634571 0.         0.16399382]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11338163 0.51413297 0.2670902  0.10539521]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34326116 0.65673884 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42464362 0.30173639 0.08172654 0.19189345]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.7172919 0.2827081 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31749678 0.23621458 0.20806481 0.23822383 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10582566 0.07742735 0.13897386 0.67777313]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80541123 0.09596836 0.09862041]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32841971 0.24028831 0.43129198 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24110369 0.50794515 0.25095116]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34610032 0.30485542 0.34904426 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09823607 0.63898827 0.11869603 0.14407963]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19214897 0.57308254 0.23476849]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27211323 0.         0.32878718 0.39909959]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53168026 0.46831974 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23335938 0.         0.54971871 0.21692192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.4500846 0.        0.5499154]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51825244 0.         0.         0.48174756]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52547974 0.37338689 0.10113337 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66932089 0.33067911]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57748387 0.42251613 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17379332 0.12817537 0.69803132]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.83860317 0.         0.16139683 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.57553424 0.42446576 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.       0.       0.451701 0.548299]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49318548 0.50681452]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15727229 0.34040409 0.23130793 0.27101569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20459726 0.44283544 0.         0.3525673 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31601317 0.68398683 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14896384 0.11082768 0.0976203  0.11177038 0.5308178 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30651837 0.12080887 0.48884679 0.08382597]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19162574 0.36662484 0.44174942]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59966046 0.23634571 0.         0.16399382]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31749678 0.23621458 0.20806481 0.23822383 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10582566 0.07742735 0.13897386 0.67777313]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17379332 0.12817537 0.69803132]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11470712 0.         0.15063731 0.73465556]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80541123 0.09596836 0.09862041]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15727229 0.34040409 0.23130793 0.27101569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8935317 0.1064683 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43229519 0.         0.56770481 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24110369 0.50794515 0.25095116]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.15513717 0.84486283]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3218798 0.6781202 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34610032 0.30485542 0.34904426 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09823607 0.63898827 0.11869603 0.14407963]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19214897 0.57308254 0.23476849]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27211323 0.         0.32878718 0.39909959]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40540529 0.         0.         0.59459471]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20459726 0.44283544 0.         0.3525673 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53168026 0.46831974 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11338163 0.51413297 0.2670902  0.10539521]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34326116 0.65673884 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42464362 0.30173639 0.08172654 0.19189345]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59036316 0.         0.40963684]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23335938 0.         0.54971871 0.21692192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.4500846 0.        0.5499154]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31601317 0.68398683 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51825244 0.         0.         0.48174756]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52547974 0.37338689 0.10113337 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.83860317 0.         0.16139683 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14896384 0.11082768 0.0976203  0.11177038 0.5308178 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30651837 0.12080887 0.48884679 0.08382597]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11338163 0.51413297 0.2670902  0.10539521]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31749678 0.23621458 0.20806481 0.23822383 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24110369 0.50794515 0.25095116]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41568846 0.         0.27241265 0.3118989  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10582566 0.07742735 0.13897386 0.67777313]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.        0.4662113 0.5337887 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09823607 0.63898827 0.11869603 0.14407963]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19214897 0.57308254 0.23476849]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15727229 0.34040409 0.23130793 0.27101569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25109914 0.74890086 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27211323 0.         0.32878718 0.39909959]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23843734 0.         0.35068126 0.4108814 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80541123 0.09596836 0.09862041]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08659089 0.15542144 0.75798767]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17379332 0.12817537 0.69803132]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42464362 0.30173639 0.08172654 0.19189345]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33456348 0.13186236 0.53357416 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19162574 0.36662484 0.44174942]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52547974 0.37338689 0.10113337 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.57553424 0.42446576 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.         0.17015534 0.82984466]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66932089 0.33067911]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0. 1.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49318548 0.50681452]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36721155 0.         0.         0.63278845]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45284247 0.         0.54715753 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.5798808  0.30124595 0.11887325]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.45353354 0.54646646]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.71704876 0.28295124]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.7172919 0.2827081 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.78687238 0.21312762 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14896384 0.11082768 0.0976203  0.11177038 0.5308178 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09823607 0.63898827 0.11869603 0.14407963]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19214897 0.57308254 0.23476849]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27211323 0.         0.32878718 0.39909959]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15727229 0.34040409 0.23130793 0.27101569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80541123 0.09596836 0.09862041]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10582566 0.07742735 0.13897386 0.67777313]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49318548 0.50681452]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20459726 0.44283544 0.         0.3525673 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42464362 0.30173639 0.08172654 0.19189345]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.55674367 0.         0.44325633]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45284247 0.         0.54715753 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1677087  0.12477368 0.10990435 0.         0.59761327]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32841971 0.24028831 0.43129198 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24110369 0.50794515 0.25095116]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14991588 0.13205035 0.         0.71803378]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30651837 0.12080887 0.48884679 0.08382597]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53168026 0.46831974 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66932089 0.33067911]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17379332 0.12817537 0.69803132]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.462437   0.32859099 0.         0.20897201]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.57553424 0.42446576 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57748387 0.42251613 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11338163 0.51413297 0.2670902  0.10539521]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19162574 0.36662484 0.44174942]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.61126043 0.         0.38873957]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.45353354 0.54646646]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.1742063  0.70491671 0.12087699]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85362326 0.14637674]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23335938 0.         0.54971871 0.21692192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.4500846 0.        0.5499154]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51825244 0.         0.         0.48174756]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 28, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15268492 0.11719527 0.09888572 0.12395707 0.50727702]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31158365 0.15179715 0.45886742 0.07775178]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20225801 0.34499356 0.45274842]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44319757 0.27155689 0.08852951 0.19671603]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16012179 0.32795326 0.24481214 0.26711281]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2387246  0.55179222 0.20948317]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09804657 0.59615665 0.13766066 0.16813612]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53262039 0.         0.46737961]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09458023 0.57497975 0.2373928  0.09304722]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43246259 0.56753741]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22253112 0.         0.55854468 0.2189242 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2382599  0.         0.36427844 0.39746166]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.48624456 0.29793273 0.         0.21582271]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.57579909 0.28051749 0.         0.14368342]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6925897 0.        0.        0.3074103]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17492636 0.15397746 0.67109618]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28863582 0.49495347 0.21641071]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30987985 0.23785225 0.20069233 0.25157558 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09408735 0.07393355 0.139595   0.6923841 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76578468 0.12278492 0.1114304 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30585985 0.24034372 0.45379643 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20676323 0.         0.79323677]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80029616 0.         0.         0.19970384]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34465338 0.2908078  0.36453882 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50408526 0.         0.         0.49591474]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48598022 0.         0.51401978 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.6957807 0.3042193]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40262927 0.         0.59737073 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24278366 0.         0.34087638 0.41633995]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.47821881 0.52178119]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41596759 0.         0.58403241 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52423951 0.47576049]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15268492 0.11719527 0.09888572 0.12395707 0.50727702]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31158365 0.15179715 0.45886742 0.07775178]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20225801 0.34499356 0.45274842]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09458023 0.57497975 0.2373928  0.09304722]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30987985 0.23785225 0.20069233 0.25157558 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.63504219 0.26219087 0.10276694]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30878782 0.         0.69121218]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.57579909 0.28051749 0.         0.14368342]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38768531 0.29757283 0.         0.31474186 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09408735 0.07393355 0.139595   0.6923841 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48598022 0.         0.51401978 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09804657 0.59615665 0.13766066 0.16813612]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2387246  0.55179222 0.20948317]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.        0.        0.7184142 0.2815858]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.72482603 0.27517397]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24278366 0.         0.34087638 0.41633995]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76578468 0.12278492 0.1114304 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08161223 0.15409322 0.76429455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52423951 0.47576049]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16012179 0.32795326 0.24481214 0.26711281]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2382599  0.         0.36427844 0.39746166]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36834314 0.         0.         0.63165686]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28863582 0.49495347 0.21641071]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17492636 0.15397746 0.67109618]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44319757 0.27155689 0.08852951 0.19671603]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60841754 0.         0.1215325  0.27004996]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53184653 0.46815347 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3683509 0.6316491 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34624667 0.65375333 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31036247 0.68963753]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39542695 0.         0.60457305 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.66128451 0.         0.33871549]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15268492 0.11719527 0.09888572 0.12395707 0.50727702]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31158365 0.15179715 0.45886742 0.07775178]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09458023 0.57497975 0.2373928  0.09304722]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20225801 0.34499356 0.45274842]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22253112 0.         0.55854468 0.2189242 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30987985 0.23785225 0.20069233 0.25157558 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09408735 0.07393355 0.139595   0.6923841 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76578468 0.12278492 0.1114304 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30585985 0.24034372 0.45379643 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28863582 0.49495347 0.21641071]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17492636 0.15397746 0.67109618]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44319757 0.27155689 0.08852951 0.19671603]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53184653 0.46815347 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3683509 0.6316491 0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34465338 0.2908078  0.36453882 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09804657 0.59615665 0.13766066 0.16813612]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2387246  0.55179222 0.20948317]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.        0.        0.7184142 0.2815858]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33785226 0.16459468 0.49755305 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30878782 0.         0.69121218]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67241381 0.32758619 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54236732 0.45763268 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5599741 0.4400259 0.        0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.72482603 0.27517397]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24278366 0.         0.34087638 0.41633995]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.        0.4501704 0.5498296]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52423951 0.47576049]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16012179 0.32795326 0.24481214 0.26711281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21848082 0.44748123 0.33403796 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39542695 0.         0.60457305 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4877078  0.15899627 0.35329593]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.57991158 0.         0.42008842]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15268492 0.11719527 0.09888572 0.12395707 0.50727702]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31158365 0.15179715 0.45886742 0.07775178]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20225801 0.34499356 0.45274842]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44319757 0.27155689 0.08852951 0.19671603]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43246259 0.56753741]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.57579909 0.28051749 0.         0.14368342]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30987985 0.23785225 0.20069233 0.25157558 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28863582 0.49495347 0.21641071]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09408735 0.07393355 0.139595   0.6923841 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57150342 0.         0.42849658]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17492636 0.15397746 0.67109618]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60841754 0.         0.1215325  0.27004996]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53184653 0.46815347 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40658763 0.         0.2633247  0.33008768 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09458023 0.57497975 0.2373928  0.09304722]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22253112 0.         0.55854468 0.2189242 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2387246  0.55179222 0.20948317]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50408526 0.         0.         0.49591474]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55192243 0.         0.         0.44807757 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1093524  0.08592878 0.         0.80471882]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76578468 0.12278492 0.1114304 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5599741 0.4400259 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09804657 0.59615665 0.13766066 0.16813612]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.72482603 0.27517397]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24278366 0.         0.34087638 0.41633995]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.66128451 0.         0.33871549]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31036247 0.68963753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16012179 0.32795326 0.24481214 0.26711281]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2382599  0.         0.36427844 0.39746166]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.        0.4501704 0.5498296]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52423951 0.47576049]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39542695 0.         0.60457305 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15268492 0.11719527 0.09888572 0.12395707 0.50727702]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31158365 0.15179715 0.45886742 0.07775178]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44319757 0.27155689 0.08852951 0.19671603]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20225801 0.34499356 0.45274842]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09458023 0.57497975 0.2373928  0.09304722]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2387246  0.55179222 0.20948317]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09804657 0.59615665 0.13766066 0.16813612]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53262039 0.         0.46737961]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12402221 0.7539658  0.         0.12201198]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30878782 0.         0.69121218]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36734568 0.         0.54098783 0.09166649]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60841754 0.         0.1215325  0.27004996]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80029616 0.         0.         0.19970384]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30987985 0.23785225 0.20069233 0.25157558 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50408526 0.         0.         0.49591474]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38768531 0.29757283 0.         0.31474186 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09408735 0.07393355 0.139595   0.6923841 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76578468 0.12278492 0.1114304 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30585985 0.24034372 0.45379643 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48598022 0.         0.51401978 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24278366 0.         0.34087638 0.41633995]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28863582 0.49495347 0.21641071]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34624667 0.65375333 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57150342 0.         0.42849658]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17492636 0.15397746 0.67109618]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.        0.4501704 0.5498296]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52423951 0.47576049]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16012179 0.32795326 0.24481214 0.26711281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21848082 0.44748123 0.33403796 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.83350573 0.         0.16649427 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20676323 0.         0.79323677]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.57257868 0.42742132 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 29, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15958321 0.11143323 0.09386021 0.14233323 0.49279012]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10464014 0.08106729 0.1323325  0.68196007]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77216843 0.11823061 0.10960096]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16188173 0.31789063 0.24708629 0.27314134]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09038825 0.63997713 0.11854684 0.15108778]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23876  0.520528 0.240712]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22271418 0.43734862 0.3399372  0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86721615 0.13278385 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32901575 0.25489658 0.41608768 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13259282 0.11168293 0.16936029 0.58636396]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35963758 0.13828351 0.42534051 0.07673839]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18773896 0.35602634 0.4562347 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42277455 0.29559101 0.09734806 0.18428638]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43831518 0.56168482]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11695082 0.51200654 0.26895922 0.10208343]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32055433 0.2700029  0.40944278 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25106252 0.         0.32927587 0.41966162]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54279977 0.45720023 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26571741 0.50935112 0.22493146]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.37988459 0.62011541 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54156327 0.         0.45843673]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.57981656 0.30458011 0.11560333]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62582727 0.24063557 0.         0.13353716]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.72487414 0.27512586]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64311361 0.         0.35688639]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.31445249 0.68554751 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.43965735 0.56034265]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33741362 0.66258638 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60018335 0.         0.13819821 0.26161844]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15213697 0.13526152 0.71260151]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17593408 0.         0.82406592]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34565396 0.65434604]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15958321 0.11143323 0.09386021 0.14233323 0.49279012]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35963758 0.13828351 0.42534051 0.07673839]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18773896 0.35602634 0.4562347 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62582727 0.24063557 0.         0.13353716]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31462954 0.21969847 0.18505201 0.28061999 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11695082 0.51200654 0.26895922 0.10208343]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23876  0.520528 0.240712]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15997852 0.70038026 0.         0.13964122]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34525733 0.65474267 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.53393852 0.         0.         0.46606148]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64311361 0.         0.35688639]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42277455 0.29559101 0.09734806 0.18428638]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15213697 0.13526152 0.71260151]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51208935 0.16864825 0.3192624 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16188173 0.31789063 0.24708629 0.27314134]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.61597194 0.         0.38402806]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38607315 0.26958588 0.         0.34434098 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10464014 0.08106729 0.1323325  0.68196007]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43911726 0.         0.56088274 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09038825 0.63997713 0.11854684 0.15108778]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.68378961 0.31621039]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.3792909  0.29481077 0.32589833]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25106252 0.         0.32927587 0.41966162]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.47495803 0.52504197]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43261401 0.         0.56738599 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26571741 0.50935112 0.22493146]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.6936718 0.3063282]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.09054157 0.14779811 0.76166032]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77216843 0.11823061 0.10960096]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.37988459 0.62011541 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52935898 0.47064102 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51893866 0.48106134]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15958321 0.11143323 0.09386021 0.14233323 0.49279012]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35963758 0.13828351 0.42534051 0.07673839]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18773896 0.35602634 0.4562347 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62582727 0.24063557 0.         0.13353716]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42277455 0.29559101 0.09734806 0.18428638]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34525733 0.65474267 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11695082 0.51200654 0.26895922 0.10208343]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60018335 0.         0.13819821 0.26161844]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15213697 0.13526152 0.71260151]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26571741 0.50935112 0.22493146]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31462954 0.21969847 0.18505201 0.28061999 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10464014 0.08106729 0.1323325  0.68196007]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.6936718 0.3063282]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17593408 0.         0.82406592]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34565396 0.65434604]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82414615 0.         0.         0.17585385]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32055433 0.2700029  0.40944278 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09038825 0.63997713 0.11854684 0.15108778]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23876  0.520528 0.240712]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23965653 0.         0.55115332 0.20919015]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.68378961 0.31621039]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25106252 0.         0.32927587 0.41966162]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77216843 0.11823061 0.10960096]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37431561 0.         0.         0.62568439]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54279977 0.45720023 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12059936 0.09343128 0.         0.78596936]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87570337 0.         0.12429663]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56346772 0.43653228 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.53393852 0.         0.         0.46606148]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16188173 0.31789063 0.24708629 0.27314134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23732518 0.         0.36223853 0.40043629]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3958298 0.        0.6041702 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15958321 0.11143323 0.09386021 0.14233323 0.49279012]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09038825 0.63997713 0.11854684 0.15108778]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23876  0.520528 0.240712]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11695082 0.51200654 0.26895922 0.10208343]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18606668 0.12992602 0.10943669 0.         0.57457061]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.57981656 0.30458011 0.11560333]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18773896 0.35602634 0.4562347 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35963758 0.13828351 0.42534051 0.07673839]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34525733 0.65474267 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42277455 0.29559101 0.09734806 0.18428638]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16188173 0.31789063 0.24708629 0.27314134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.68378961 0.31621039]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25106252 0.         0.32927587 0.41966162]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77216843 0.11823061 0.10960096]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10464014 0.08106729 0.1323325  0.68196007]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51893866 0.48106134]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23732518 0.         0.36223853 0.40043629]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37431561 0.         0.         0.62568439]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3958298 0.        0.6041702 0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4683694  0.32746953 0.         0.20416107]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15213697 0.13526152 0.71260151]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.61597194 0.         0.38402806]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62582727 0.24063557 0.         0.13353716]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20893144 0.14589196 0.         0.         0.6451766 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26571741 0.50935112 0.22493146]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32901575 0.25489658 0.41608768 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54156327 0.         0.45843673]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52935898 0.47064102 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56346772 0.43653228 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24461946 0.         0.         0.         0.75538054]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64311361 0.         0.35688639]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.72487414 0.27512586]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15958321 0.11143323 0.09386021 0.14233323 0.49279012]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35963758 0.13828351 0.42534051 0.07673839]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18773896 0.35602634 0.4562347 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62582727 0.24063557 0.         0.13353716]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11695082 0.51200654 0.26895922 0.10208343]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34525733 0.65474267 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23965653 0.         0.55115332 0.20919015]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23876  0.520528 0.240712]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16188173 0.31789063 0.24708629 0.27314134]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42277455 0.29559101 0.09734806 0.18428638]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15213697 0.13526152 0.71260151]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51208935 0.16864825 0.3192624 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34565396 0.65434604]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.72227826 0.27772174 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31462954 0.21969847 0.18505201 0.28061999 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.53393852 0.         0.         0.46606148]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.3792909  0.29481077 0.32589833]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.31445249 0.68554751 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09038825 0.63997713 0.11854684 0.15108778]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.47495803 0.52504197]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77216843 0.11823061 0.10960096]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10464014 0.08106729 0.1323325  0.68196007]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51893866 0.48106134]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10647537 0.75387904 0.13964558 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38607315 0.26958588 0.         0.34434098 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32901575 0.25489658 0.41608768 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52935898 0.47064102 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44157057 0.         0.55842943 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26571741 0.50935112 0.22493146]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34283086 0.65716914 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43911726 0.         0.56088274 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43261401 0.         0.56738599 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
Iteration 30, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14982806 0.12792903 0.11932611 0.12951346 0.47340334]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08022153 0.67593423 0.10069435 0.14314989]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23295878 0.57254183 0.19449939]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16286099 0.32248633 0.24137835 0.27327433]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28920993 0.71079007 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08494575 0.59369591 0.23253352 0.08882482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18980418 0.39535576 0.41484006]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3540034  0.12180541 0.44682735 0.07736383]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1721199  0.14696268 0.13707979 0.         0.54383763]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18855426 0.69168685 0.11975888]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32436291 0.67563709 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2090694  0.         0.57231399 0.21861661]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24754705 0.         0.31072197 0.44173098]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77305284 0.11689032 0.11005684]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09792203 0.07338201 0.13233157 0.69636438]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51505521 0.48494479]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35913962 0.         0.         0.64086038]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37732158 0.32217186 0.30050656 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26566333 0.50778935 0.22654733]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16378488 0.16125321 0.6749619 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34347716 0.65652284 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32249851 0.24167788 0.43582361 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19527334 0.         0.80472666]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43195587 0.28047206 0.09513684 0.19243523]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42527905 0.         0.57472095 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5566626 0.        0.4433374 0.        0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48883853 0.         0.         0.51116147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61156738 0.         0.38843262]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49375047 0.16748143 0.3387681 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33082783 0.66917217]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24038038 0.         0.35627081 0.40334881]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4028826 0.        0.5971174 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14982806 0.12792903 0.11932611 0.12951346 0.47340334]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09792203 0.07338201 0.13233157 0.69636438]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77305284 0.11689032 0.11005684]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08022153 0.67593423 0.10069435 0.14314989]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8753758 0.        0.1246242]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16286099 0.32248633 0.24137835 0.27327433]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23295878 0.57254183 0.19449939]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08920385 0.75161791 0.         0.15917824]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54498614 0.         0.45501386]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08494575 0.59369591 0.23253352 0.08882482]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24038038 0.         0.35627081 0.40334881]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32249851 0.24167788 0.43582361 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.1504743  0.14035527 0.15233796 0.55683247]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26566333 0.50778935 0.22654733]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35671934 0.64328066 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53973502 0.         0.46026498]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.16521603 0.17932119 0.65546278]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3540034  0.12180541 0.44682735 0.07736383]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43195587 0.28047206 0.09513684 0.19243523]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16378488 0.16125321 0.6749619 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49375047 0.16748143 0.3387681 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.4031036  0.         0.50880222 0.08809418]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18980418 0.39535576 0.41484006]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74671302 0.25328698 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37341849 0.         0.         0.62658151]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48797556 0.51202444]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11068334 0.77357894 0.         0.11573772]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82065436 0.         0.         0.17934564]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.47953029 0.52046971 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35913962 0.         0.         0.64086038]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48883853 0.         0.         0.51116147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50389442 0.49610558 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14982806 0.12792903 0.11932611 0.12951346 0.47340334]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3540034  0.12180541 0.44682735 0.07736383]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18980418 0.39535576 0.41484006]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63995103 0.22019421 0.         0.13985477]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28452148 0.24293552 0.22659868 0.24594432 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08494575 0.59369591 0.23253352 0.08882482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32436291 0.67563709 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43195587 0.28047206 0.09513684 0.19243523]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16286099 0.32248633 0.24137835 0.27327433]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77305284 0.11689032 0.11005684]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21468013 0.42509508 0.         0.3602248 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08022153 0.67593423 0.10069435 0.14314989]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23295878 0.57254183 0.19449939]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24754705 0.         0.31072197 0.44173098]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33555556 0.66444444 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54498614 0.         0.45501386]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47737149 0.30996074 0.         0.21266777]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2090694  0.         0.57231399 0.21861661]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48883853 0.         0.         0.51116147]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36788337 0.31411314 0.         0.31800349 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09792203 0.07338201 0.13233157 0.69636438]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86865418 0.13134582 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32249851 0.24167788 0.43582361 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.49692276 0.         0.50307724 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44341893 0.         0.55658107 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26566333 0.50778935 0.22654733]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16378488 0.16125321 0.6749619 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.69180338 0.         0.         0.30819662]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61156738 0.         0.38843262]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50389442 0.49610558 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35671934 0.64328066 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34347716 0.65652284 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14982806 0.12792903 0.11932611 0.12951346 0.47340334]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08494575 0.59369591 0.23253352 0.08882482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18980418 0.39535576 0.41484006]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3540034  0.12180541 0.44682735 0.07736383]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32436291 0.67563709 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2090694  0.         0.57231399 0.21861661]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23295878 0.57254183 0.19449939]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48883853 0.         0.         0.51116147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63995103 0.22019421 0.         0.13985477]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17012888 0.14526266 0.         0.14706176 0.5375467 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26566333 0.50778935 0.22654733]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09792203 0.07338201 0.13233157 0.69636438]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77305284 0.11689032 0.11005684]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08022153 0.67593423 0.10069435 0.14314989]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19904229 0.         0.         0.17205492 0.62890279]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61156738 0.         0.38843262]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43195587 0.28047206 0.09513684 0.19243523]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16378488 0.16125321 0.6749619 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49375047 0.16748143 0.3387681 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33082783 0.66917217]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.53636159 0.         0.         0.46363841 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.73488807 0.10947675 0.15563518]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.74642902 0.25357098]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.41294538 0.58705462]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8753758 0.        0.1246242]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32249851 0.24167788 0.43582361 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53973502 0.         0.46026498]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50389442 0.49610558 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57162709 0.42837291 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16286099 0.32248633 0.24137835 0.27327433]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21468013 0.42509508 0.         0.3602248 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37341849 0.         0.         0.62658151]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14982806 0.12792903 0.11932611 0.12951346 0.47340334]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3540034  0.12180541 0.44682735 0.07736383]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18980418 0.39535576 0.41484006]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08494575 0.59369591 0.23253352 0.08882482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31391051 0.         0.68608949]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63995103 0.22019421 0.         0.13985477]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28452148 0.24293552 0.22659868 0.24594432 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08022153 0.67593423 0.10069435 0.14314989]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23295878 0.57254183 0.19449939]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24754705 0.         0.31072197 0.44173098]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37732158 0.32217186 0.30050656 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09792203 0.07338201 0.13233157 0.69636438]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77305284 0.11689032 0.11005684]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32249851 0.24167788 0.43582361 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26566333 0.50778935 0.22654733]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.51739685 0.48260315 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69149392 0.30850608]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16378488 0.16125321 0.6749619 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57162709 0.42837291 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2090694  0.         0.57231399 0.21861661]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54498614 0.         0.45501386]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48883853 0.         0.         0.51116147]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61156738 0.         0.38843262]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43195587 0.28047206 0.09513684 0.19243523]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19527334 0.         0.80472666]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49375047 0.16748143 0.3387681 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33082783 0.66917217]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16286099 0.32248633 0.24137835 0.27327433]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24038038 0.         0.35627081 0.40334881]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.41294538 0.58705462]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4028826 0.        0.5971174 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51505521 0.48494479]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
Iteration 31, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13264025 0.14023435 0.11799408 0.1141516  0.49497972]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37135157 0.12535754 0.418576   0.0847149 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38212407 0.31920919 0.10648211 0.19218463]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17165284 0.16229299 0.66605417]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51662344 0.17233575 0.31104081]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16752146 0.33741152 0.24368473 0.25138228]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08417973 0.62860156 0.11587758 0.17134112]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24842655 0.57658057 0.17499289]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22665613 0.         0.31200342 0.46134045]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7824552  0.10951619 0.1080286 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08595545 0.06337762 0.12839333 0.7222736 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51401403 0.48598597 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09177172 0.         0.13708121 0.77114707]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2832302  0.49426162 0.22250818]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10635036 0.         0.         0.89364964]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.26264343 0.27768063 0.23364225 0.2260337  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0. 1.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50341905 0.49658095]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22377438 0.45071272 0.32551291 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.32944369 0.         0.         0.67055631]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.37658934 0.31686468 0.30654598 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56003304 0.         0.43996696]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.       0.       0.508276 0.491724 0.      ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08889071 0.56885232 0.22939012 0.11286685]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19785449 0.35947282 0.44267269]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.62419446 0.         0.37580554]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.44813916 0.55186084]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2061723  0.         0.53204535 0.26178234]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58671504 0.         0.41328496]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33176969 0.66823031 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44058181 0.         0.         0.55941819]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42457528 0.         0.47856812 0.0968566 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.83167807 0.16832193]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13264025 0.14023435 0.11799408 0.1141516  0.49497972]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08417973 0.62860156 0.11587758 0.17134112]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7824552  0.10951619 0.1080286 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08595545 0.06337762 0.12839333 0.7222736 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2832302  0.49426162 0.22250818]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17165284 0.16229299 0.66605417]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38212407 0.31920919 0.10648211 0.19218463]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51401403 0.48598597 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36428705 0.63571295 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09861725 0.07271356 0.         0.8286692 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50341905 0.49658095]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16752146 0.33741152 0.24368473 0.25138228]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24842655 0.57658057 0.17499289]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09521276 0.71098928 0.         0.19379796]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58671504 0.         0.41328496]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25282882 0.         0.36777689 0.37939429]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.32944369 0.         0.         0.67055631]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40739042 0.         0.59260958 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14973245 0.15830513 0.13319895 0.         0.55876347]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37135157 0.12535754 0.418576   0.0847149 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51662344 0.17233575 0.31104081]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19785449 0.35947282 0.44267269]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08889071 0.56885232 0.22939012 0.11286685]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30889319 0.         0.69110681]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35652484 0.64347516]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42457528 0.         0.47856812 0.0968566 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81424879 0.         0.         0.18575121]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33934736 0.35877612 0.30187652 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.52921822 0.         0.47078178 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2061723  0.         0.53204535 0.26178234]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57559554 0.42440446 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.67022775 0.32977225]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13264025 0.14023435 0.11799408 0.1141516  0.49497972]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37135157 0.12535754 0.418576   0.0847149 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.26264343 0.27768063 0.23364225 0.2260337  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08417973 0.62860156 0.11587758 0.17134112]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16752146 0.33741152 0.24368473 0.25138228]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24842655 0.57658057 0.17499289]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08889071 0.56885232 0.22939012 0.11286685]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76716463 0.23283537]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10158551 0.758577   0.1398375  0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25282882 0.         0.36777689 0.37939429]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38212407 0.31920919 0.10648211 0.19218463]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17165284 0.16229299 0.66605417]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51662344 0.17233575 0.31104081]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19940802 0.66583479 0.13475719]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74986073 0.25013927 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19785449 0.35947282 0.44267269]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.49222574 0.50777426]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7824552  0.10951619 0.1080286 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08595545 0.06337762 0.12839333 0.7222736 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50341905 0.49658095]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42077808 0.         0.57922192 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33934736 0.35877612 0.30187652 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30949687 0.22820165 0.46230148 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2832302  0.49426162 0.22250818]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51401403 0.48598597 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57559554 0.42440446 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36428705 0.63571295 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54306317 0.45693683 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11535112 0.73818457 0.         0.14646432]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.44813916 0.55186084]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.83167807 0.16832193]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44058181 0.         0.         0.55941819]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13264025 0.14023435 0.11799408 0.1141516  0.49497972]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37135157 0.12535754 0.418576   0.0847149 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.26264343 0.27768063 0.23364225 0.2260337  0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08889071 0.56885232 0.22939012 0.11286685]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19785449 0.35947282 0.44267269]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19940802 0.66583479 0.13475719]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35500591 0.64499409 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2061723  0.         0.53204535 0.26178234]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59673482 0.         0.40326518]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2792839 0.        0.7207161 0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24842655 0.57658057 0.17499289]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34271647 0.36233812 0.         0.2949454  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2832302  0.49426162 0.22250818]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08595545 0.06337762 0.12839333 0.7222736 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.53745799 0.         0.         0.46254201 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.06933756 0.14046725 0.79019519]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7824552  0.10951619 0.1080286 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33048604 0.66951396 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17165284 0.16229299 0.66605417]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56003304 0.         0.43996696]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19592388 0.80407612]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38212407 0.31920919 0.10648211 0.19218463]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08417973 0.62860156 0.11587758 0.17134112]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76716463 0.23283537]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22665613 0.         0.31200342 0.46134045]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50341905 0.49658095]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16752146 0.33741152 0.24368473 0.25138228]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51662344 0.17233575 0.31104081]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35652484 0.64347516]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.40530958 0.29272194 0.30196849]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.32944369 0.         0.         0.67055631]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.57305549 0.         0.42694451]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13264025 0.14023435 0.11799408 0.1141516  0.49497972]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08595545 0.06337762 0.12839333 0.7222736 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7824552  0.10951619 0.1080286 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08417973 0.62860156 0.11587758 0.17134112]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16752146 0.33741152 0.24368473 0.25138228]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24842655 0.57658057 0.17499289]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10158551 0.758577   0.1398375  0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58671504 0.         0.41328496]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08889071 0.56885232 0.22939012 0.11286685]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19785449 0.35947282 0.44267269]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37135157 0.12535754 0.418576   0.0847149 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38212407 0.31920919 0.10648211 0.19218463]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17165284 0.16229299 0.66605417]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51662344 0.17233575 0.31104081]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35500591 0.64499409 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35652484 0.64347516]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42457528 0.         0.47856812 0.0968566 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2061723  0.         0.53204535 0.26178234]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25282882 0.         0.36777689 0.37939429]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87868549 0.         0.12131451]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30949687 0.22820165 0.46230148 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.16167956 0.13603822 0.13160814 0.57067408]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81424879 0.         0.         0.18575121]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.37658934 0.31686468 0.30654598 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44058181 0.         0.         0.55941819]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.55126609 0.         0.44873391 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2832302  0.49426162 0.22250818]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42077808 0.         0.57922192 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39990442 0.         0.         0.60009558]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51401403 0.48598597 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33048604 0.66951396 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68956815 0.31043185]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
Iteration 32, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12864315 0.12729275 0.10103008 0.11595552 0.5270785 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27541798 0.49968026 0.22490176]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09446376 0.06889085 0.13862303 0.69802236]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79826478 0.09806051 0.10367471]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31281707 0.22813228 0.45905065 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55048393 0.         0.44951607]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14740699 0.         0.11576629 0.13286874 0.60395797]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09257978 0.55390598 0.22960071 0.12391353]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22010804 0.3565539  0.42333806]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41005106 0.3145749  0.09794938 0.17742467]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1770236  0.16300275 0.65997366]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53322394 0.16603026 0.3007458 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.45718371 0.54281629]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35530443 0.11530387 0.44373265 0.08565905]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16670592 0.         0.         0.15026428 0.6830298 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17885011 0.68828245 0.13286744]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20753423 0.         0.51469131 0.27777446]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.52593562 0.         0.         0.47406438 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57827424 0.42172576 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5206173 0.4793827 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08582339 0.63780481 0.10984744 0.16652435]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48608524 0.51391476]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16270074 0.32658983 0.25349904 0.2572104 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09641425 0.7165118  0.         0.18707395]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21904015 0.43968012 0.34127973 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35569575 0.64430425]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57375695 0.         0.42624305]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.56299965 0.43700035 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22588041 0.60525309 0.1688665 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.64948081 0.35051919]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78185993 0.21814007]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1186015 0.8813985 0.        0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12864315 0.12729275 0.10103008 0.11595552 0.5270785 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08582339 0.63780481 0.10984744 0.16652435]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22588041 0.60525309 0.1688665 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16270074 0.32658983 0.25349904 0.2572104 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79826478 0.09806051 0.10367471]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09446376 0.06889085 0.13862303 0.69802236]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48608524 0.51391476]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23695343 0.         0.30328244 0.45976413]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21795115 0.43749418 0.         0.34455467]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41005106 0.3145749  0.09794938 0.17742467]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1770236  0.16300275 0.65997366]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53322394 0.16603026 0.3007458 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35530443 0.11530387 0.44373265 0.08565905]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1455166  0.14398908 0.11428167 0.         0.59621264]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31281707 0.22813228 0.45905065 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5206173 0.4793827 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27541798 0.49968026 0.22490176]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.1685101  0.13374358 0.         0.69774632]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68961173 0.31038827]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.4052729 0.        0.5947271 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.16084812 0.         0.83915188]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17885011 0.68828245 0.13286744]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.76256094 0.23743906 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22010804 0.3565539  0.42333806]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.55942052 0.         0.44057948]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27177393 0.72822607 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.3400997 0.        0.        0.6599003]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09257978 0.55390598 0.22960071 0.12391353]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.83819344 0.16180656]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.45718371 0.54281629]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.61041838 0.25302579 0.13655584]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.81718802 0.         0.18281198]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12864315 0.12729275 0.10103008 0.11595552 0.5270785 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35530443 0.11530387 0.44373265 0.08565905]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22010804 0.3565539  0.42333806]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09257978 0.55390598 0.22960071 0.12391353]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34207689 0.         0.65792311]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63872961 0.2072814  0.         0.15398899]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27201798 0.26916254 0.21362971 0.24518977 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27541798 0.49968026 0.22490176]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09446376 0.06889085 0.13862303 0.69802236]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79826478 0.09806051 0.10367471]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08582339 0.63780481 0.10984744 0.16652435]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16270074 0.32658983 0.25349904 0.2572104 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88505359 0.         0.11494641]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31281707 0.22813228 0.45905065 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55048393 0.         0.44951607]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1770236  0.16300275 0.65997366]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57827424 0.42172576 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37220038 0.         0.2923081  0.33549152 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20753423 0.         0.51469131 0.27777446]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22588041 0.60525309 0.1688665 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.42763344 0.         0.         0.57236656]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57375695 0.         0.42624305]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41005106 0.3145749  0.09794938 0.17742467]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59824342 0.         0.14290311 0.25885347]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19806491 0.80193509]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35569575 0.64430425]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.52593562 0.         0.         0.47406438 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10297049 0.76523509 0.13179442 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78185993 0.21814007]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43861106 0.         0.56138894 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21795115 0.43749418 0.         0.34455467]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33252377 0.66747623 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12864315 0.12729275 0.10103008 0.11595552 0.5270785 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09446376 0.06889085 0.13862303 0.69802236]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79826478 0.09806051 0.10367471]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31281707 0.22813228 0.45905065 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14608567 0.1159457  0.13307466 0.60489396]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27541798 0.49968026 0.22490176]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1770236  0.16300275 0.65997366]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41005106 0.3145749  0.09794938 0.17742467]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35530443 0.11530387 0.44373265 0.08565905]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49849666 0.38242686 0.11907648 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5206173 0.4793827 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33198188 0.66801812 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35533299 0.64466701 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.13578142 0.15584076 0.70837781]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40161183 0.         0.50156504 0.09682313]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.46560732 0.53439268 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08582339 0.63780481 0.10984744 0.16652435]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22588041 0.60525309 0.1688665 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23695343 0.         0.30328244 0.45976413]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09257978 0.55390598 0.22960071 0.12391353]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22010804 0.3565539  0.42333806]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20753423 0.         0.51469131 0.27777446]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.83819344 0.16180656]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34207689 0.         0.65792311]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28735376 0.         0.71264624 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.57221578 0.         0.42778422]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.39746256 0.60253744]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48608524 0.51391476]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16270074 0.32658983 0.25349904 0.2572104 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21904015 0.43968012 0.34127973 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33252377 0.66747623 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.76256094 0.23743906 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12864315 0.12729275 0.10103008 0.11595552 0.5270785 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35530443 0.11530387 0.44373265 0.08565905]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22010804 0.3565539  0.42333806]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09257978 0.55390598 0.22960071 0.12391353]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34207689 0.         0.65792311]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63872961 0.2072814  0.         0.15398899]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20753423 0.         0.51469131 0.27777446]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27201798 0.26916254 0.21362971 0.24518977 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27541798 0.49968026 0.22490176]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09446376 0.06889085 0.13862303 0.69802236]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79826478 0.09806051 0.10367471]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31281707 0.22813228 0.45905065 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55048393 0.         0.44951607]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37220038 0.         0.2923081  0.33549152 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57827424 0.42172576 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.46560732 0.53439268 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08582339 0.63780481 0.10984744 0.16652435]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22588041 0.60525309 0.1688665 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23695343 0.         0.30328244 0.45976413]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16270074 0.32658983 0.25349904 0.2572104 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48608524 0.51391476]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43861106 0.         0.56138894 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21795115 0.43749418 0.         0.34455467]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41005106 0.3145749  0.09794938 0.17742467]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1770236  0.16300275 0.65997366]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53322394 0.16603026 0.3007458 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35569575 0.64430425]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75498972 0.24501028 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.55942052 0.         0.44057948]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.64948081 0.35051919]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.57221578 0.         0.42778422]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5206173 0.4793827 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
Iteration 33, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15702531 0.13347456 0.09047058 0.12974568 0.48928387]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10229434 0.06489989 0.13981106 0.6929947 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80358877 0.09413143 0.10227979]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33320058 0.21139665 0.45540277 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15833757 0.107323   0.15391409 0.58042534]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34978318 0.1193173  0.44937125 0.08152826]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40160509 0.2985843  0.10798834 0.19182227]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16326772 0.3271373  0.26439869 0.24519629]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4792569 0.5207431]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22195137 0.44472093 0.         0.3333277 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2118829  0.60937113 0.17874598]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09942008 0.53862855 0.24177736 0.12017401]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.37737639 0.25579    0.36683361 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.59809078 0.26846852 0.1334407 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77319871 0.22680129]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09767688 0.61653305 0.11778194 0.16800813]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11071739 0.69884428 0.         0.19043833]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.5070832 0.        0.4929168 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25768034 0.51308883 0.22923083]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31703185 0.68296815 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17667268 0.16206545 0.66126187]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45022404 0.33473138 0.         0.21504458]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39717277 0.         0.5102533  0.09257393]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.78585174 0.         0.21414826]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39971139 0.         0.         0.60028861]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57356638 0.42643362 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52156125 0.47843875 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52921427 0.         0.47078573]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21005709 0.35127132 0.4386716 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.81758721 0.         0.18241279]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32379806 0.         0.67620194]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.84643372 0.15356628]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15702531 0.13347456 0.09047058 0.12974568 0.48928387]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10229434 0.06489989 0.13981106 0.6929947 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80358877 0.09413143 0.10227979]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09767688 0.61653305 0.11778194 0.16800813]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15833757 0.107323   0.15391409 0.58042534]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25768034 0.51308883 0.22923083]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33320058 0.21139665 0.45540277 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.12751312 0.18286914 0.68961774]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34978318 0.1193173  0.44937125 0.08152826]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21005709 0.35127132 0.4386716 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63524323 0.21669283 0.         0.14806394]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.41082606 0.58917394 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09942008 0.53862855 0.24177736 0.12017401]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37421425 0.62578575 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40160509 0.2985843  0.10798834 0.19182227]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21548814 0.         0.52404058 0.26047128]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2118829  0.60937113 0.17874598]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.68327303 0.13053189 0.18619509]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54241484 0.         0.45758516]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45274477 0.         0.         0.54725523]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59407487 0.         0.40592513]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.41212747 0.58787253]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16326772 0.3271373  0.26439869 0.24519629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57256359 0.         0.15395768 0.27347873]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17667268 0.16206545 0.66126187]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36018851 0.63981149]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39097009 0.31598959 0.29304031]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88709202 0.         0.11290798]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31703185 0.68296815 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52921427 0.         0.47078573]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.55303025 0.44696975 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52156125 0.47843875 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15702531 0.13347456 0.09047058 0.12974568 0.48928387]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10229434 0.06489989 0.13981106 0.6929947 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25768034 0.51308883 0.22923083]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17667268 0.16206545 0.66126187]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11892079 0.07544842 0.         0.8056308 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80358877 0.09413143 0.10227979]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61182937 0.38817063 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15833757 0.107323   0.15391409 0.58042534]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34978318 0.1193173  0.44937125 0.08152826]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21005709 0.35127132 0.4386716 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09942008 0.53862855 0.24177736 0.12017401]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2118829  0.60937113 0.17874598]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09767688 0.61653305 0.11778194 0.16800813]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54241484 0.         0.45758516]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13112254 0.7103831  0.         0.15849436]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32379806 0.         0.67620194]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63524323 0.21669283 0.         0.14806394]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.37737639 0.25579    0.36683361 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45274477 0.         0.         0.54725523]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59407487 0.         0.40592513]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.5070832 0.        0.4929168 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33431583 0.66568417 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19684206 0.80315794]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40160509 0.2985843  0.10798834 0.19182227]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4969267  0.36945376 0.13361954 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25472047 0.         0.30715017 0.43812936]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4792569 0.5207431]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16326772 0.3271373  0.26439869 0.24519629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.7343935 0.2656065 0.       ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39097009 0.31598959 0.29304031]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.51884085 0.48115915]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36764167 0.         0.         0.63235833]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15702531 0.13347456 0.09047058 0.12974568 0.48928387]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10229434 0.06489989 0.13981106 0.6929947 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80358877 0.09413143 0.10227979]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33320058 0.21139665 0.45540277 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15833757 0.107323   0.15391409 0.58042534]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09767688 0.61653305 0.11778194 0.16800813]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2118829  0.60937113 0.17874598]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25472047 0.         0.30715017 0.43812936]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16326772 0.3271373  0.26439869 0.24519629]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45334362 0.         0.54665638 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4792569 0.5207431]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21630487 0.43340711 0.35028802 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54241484 0.         0.45758516]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09942008 0.53862855 0.24177736 0.12017401]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21005709 0.35127132 0.4386716 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34978318 0.1193173  0.44937125 0.08152826]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.18714124 0.12684646 0.         0.6860123 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18350387 0.69110986 0.12538627]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40160509 0.2985843  0.10798834 0.19182227]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.84643372 0.15356628]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37421425 0.62578575 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21548814 0.         0.52404058 0.26047128]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38176418 0.         0.61823582 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.59601456 0.40398544 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25768034 0.51308883 0.22923083]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31703185 0.68296815 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52921427 0.         0.47078573]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45274477 0.         0.         0.54725523]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17667268 0.16206545 0.66126187]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4969267  0.36945376 0.13361954 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.78808923 0.         0.21191077 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52156125 0.47843875 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15702531 0.13347456 0.09047058 0.12974568 0.48928387]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34978318 0.1193173  0.44937125 0.08152826]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21005709 0.35127132 0.4386716 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63524323 0.21669283 0.         0.14806394]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30746103 0.26134785 0.17714455 0.25404657 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09942008 0.53862855 0.24177736 0.12017401]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2118829  0.60937113 0.17874598]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13112254 0.7103831  0.         0.15849436]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37365133 0.31761089 0.         0.30873778 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10229434 0.06489989 0.13981106 0.6929947 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25768034 0.51308883 0.22923083]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17667268 0.16206545 0.66126187]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40160509 0.2985843  0.10798834 0.19182227]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52156125 0.47843875 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33431583 0.66568417 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11892079 0.07544842 0.         0.8056308 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80358877 0.09413143 0.10227979]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61182937 0.38817063 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.5070832 0.        0.4929168 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09767688 0.61653305 0.11778194 0.16800813]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77319871 0.22680129]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16326772 0.3271373  0.26439869 0.24519629]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4792569 0.5207431]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25472047 0.         0.30715017 0.43812936]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22195137 0.44472093 0.         0.3333277 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49897533 0.18046333 0.32056134]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37421425 0.62578575 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36018851 0.63981149]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59407487 0.         0.40592513]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.81758721 0.         0.18241279]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.57158501 0.         0.42841499]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45334362 0.         0.54665638 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
Iteration 34, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14761768 0.1258476  0.10864123 0.14923441 0.46865908]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32627688 0.10434917 0.49149736 0.07787659]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17844117 0.39728525 0.42427358]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08461924 0.54636643 0.23018661 0.13882772]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29606239 0.         0.70393761]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64164246 0.2052087  0.         0.15314884]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18653655 0.         0.50742851 0.30603494]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75768032 0.24231968 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27782103 0.23684907 0.20446614 0.28086376 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10389876 0.06647073 0.13855176 0.69107875]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26193007 0.50966071 0.22840922]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12060941 0.07716161 0.         0.80222899]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32796451 0.28312392 0.38891158 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26879818 0.         0.73120182 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.45749121 0.         0.54250879 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53418128 0.         0.46581872]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09911506 0.62672459 0.09877625 0.1753841 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22187149 0.58995934 0.18816917]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26552796 0.         0.2646203  0.46985174]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8012525  0.09657054 0.10217696]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08774441 0.         0.91225559]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16976729 0.15437333 0.67585938]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4189496  0.2907595  0.10069491 0.18959599]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52374581 0.47625419 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0. 1.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48589561 0.51410439]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15952694 0.40090471 0.22209488 0.21747347]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36107599 0.         0.         0.63892401]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20507249 0.51536453 0.         0.27956298]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54109632 0.         0.45890368]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42314792 0.         0.         0.57685208]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50040324 0.17329806 0.3262987 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34687586 0.65312414]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14761768 0.1258476  0.10864123 0.14923441 0.46865908]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32627688 0.10434917 0.49149736 0.07787659]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17844117 0.39728525 0.42427358]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08461924 0.54636643 0.23018661 0.13882772]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29606239 0.         0.70393761]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64164246 0.2052087  0.         0.15314884]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18653655 0.         0.50742851 0.30603494]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22187149 0.58995934 0.18816917]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.37869944 0.         0.         0.62130056]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75768032 0.24231968 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27782103 0.23684907 0.20446614 0.28086376 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10389876 0.06647073 0.13855176 0.69107875]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8012525  0.09657054 0.10217696]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33632767 0.21517047 0.44850186 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26193007 0.50966071 0.22840922]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32796451 0.28312392 0.38891158 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69053174 0.30946826]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60984371 0.39015629 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.        0.4212931 0.5787069 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09911506 0.62672459 0.09877625 0.1753841 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15952694 0.40090471 0.22209488 0.21747347]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48589561 0.51410439]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12019542 0.76002001 0.11978456 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75817726 0.24182274]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.50085604 0.         0.49914396 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4189496  0.2907595  0.10069491 0.18959599]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59070175 0.         0.14197569 0.26732257]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16976729 0.15437333 0.67585938]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.18593983 0.81406017]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34687586 0.65312414]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20507249 0.51536453 0.         0.27956298]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28465013 0.71534987 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14761768 0.1258476  0.10864123 0.14923441 0.46865908]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32627688 0.10434917 0.49149736 0.07787659]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4189496  0.2907595  0.10069491 0.18959599]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16976729 0.15437333 0.67585938]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26193007 0.50966071 0.22840922]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27782103 0.23684907 0.20446614 0.28086376 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10389876 0.06647073 0.13855176 0.69107875]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8012525  0.09657054 0.10217696]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33632767 0.21517047 0.44850186 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20075915 0.         0.79924085]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50040324 0.17329806 0.3262987 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15952694 0.40090471 0.22209488 0.21747347]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22187149 0.58995934 0.18816917]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26627975 0.         0.37071711 0.36300314]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.60530067 0.         0.39469933]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17844117 0.39728525 0.42427358]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36429027 0.         0.54876001 0.08694972]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48357493 0.51642507]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08461924 0.54636643 0.23018661 0.13882772]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80730937 0.         0.         0.19269063]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32796451 0.28312392 0.38891158 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09826052 0.63444499 0.26729449 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26879818 0.         0.73120182 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.45749121 0.         0.54250879 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09911506 0.62672459 0.09877625 0.1753841 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.50525675 0.49474325]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12019542 0.76002001 0.11978456 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27329769 0.72670231 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.50085604 0.         0.49914396 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69053174 0.30946826]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42853595 0.         0.57146405 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48589561 0.51410439]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14761768 0.1258476  0.10864123 0.14923441 0.46865908]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09911506 0.62672459 0.09877625 0.1753841 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22187149 0.58995934 0.18816917]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26552796 0.         0.2646203  0.46985174]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15952694 0.40090471 0.22209488 0.21747347]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8012525  0.09657054 0.10217696]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10389876 0.06647073 0.13855176 0.69107875]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48589561 0.51410439]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20507249 0.51536453 0.         0.27956298]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.50085604 0.         0.49914396 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17351158 0.14792277 0.12769819 0.         0.55086746]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32627688 0.10434917 0.49149736 0.07787659]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17844117 0.39728525 0.42427358]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08461924 0.54636643 0.23018661 0.13882772]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54109632 0.         0.45890368]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10992175 0.7097388  0.         0.18033945]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29606239 0.         0.70393761]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64164246 0.2052087  0.         0.15314884]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38632601 0.32935215 0.28432184 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26193007 0.50966071 0.22840922]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33632767 0.21517047 0.44850186 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53418128 0.         0.46581872]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57604898 0.         0.42395102 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60984371 0.39015629 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16976729 0.15437333 0.67585938]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4189496  0.2907595  0.10069491 0.18959599]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28465013 0.71534987 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46585925 0.32331575 0.         0.21082499]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68844406 0.         0.         0.31155594]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52374581 0.47625419 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.37869944 0.         0.         0.62130056]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57263677 0.         0.42736323]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14761768 0.1258476  0.10864123 0.14923441 0.46865908]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09911506 0.62672459 0.09877625 0.1753841 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15952694 0.40090471 0.22209488 0.21747347]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22187149 0.58995934 0.18816917]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08461924 0.54636643 0.23018661 0.13882772]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17844117 0.39728525 0.42427358]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18653655 0.         0.50742851 0.30603494]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75817726 0.24182274]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12019542 0.76002001 0.11978456 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26627975 0.         0.37071711 0.36300314]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.50085604 0.         0.49914396 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8012525  0.09657054 0.10217696]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10389876 0.06647073 0.13855176 0.69107875]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48589561 0.51410439]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41802364 0.         0.58197636 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4189496  0.2907595  0.10069491 0.18959599]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17351158 0.14792277 0.12769819 0.         0.55086746]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33632767 0.21517047 0.44850186 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.17897742 0.15450693 0.         0.66651565]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26193007 0.50966071 0.22840922]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.        0.3242119 0.6757881 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53418128 0.         0.46581872]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16976729 0.15437333 0.67585938]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46585925 0.32331575 0.         0.21082499]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52374581 0.47625419 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.18818841 0.         0.81181159]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.37869944 0.         0.         0.62130056]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32627688 0.10434917 0.49149736 0.07787659]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29606239 0.         0.70393761]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64164246 0.2052087  0.         0.15314884]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57263677 0.         0.42736323]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.60530067 0.         0.39469933]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 35, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12566742 0.11105249 0.09747703 0.12807983 0.53772323]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28860626 0.12382175 0.51528645 0.07228553]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43111331 0.28051409 0.10779463 0.18057797]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.14957219 0.14664857 0.70377924]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24783255 0.5212873  0.23088015]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09708374 0.07114007 0.13426221 0.69751398]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51770623 0.         0.48229377]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27184455 0.24022944 0.21086292 0.27706309 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09135877 0.66849098 0.09811753 0.14203273]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2014662  0.60214166 0.19639214]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10498253 0.53594464 0.2240962  0.13497663]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16504334 0.37882828 0.45612839]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32939218 0.         0.58810688 0.08250094]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37602804 0.33229654 0.29167541 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11213989 0.08217277 0.         0.80568734]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79465292 0.10544773 0.09989936]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27558456 0.         0.29597242 0.42844302]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88832474 0.         0.11167526]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978131 0.34448551 0.24223349 0.24349968]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57711056 0.42288944 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53255045 0.46744955 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22622846 0.         0.48290833 0.29086321]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75405908 0.24594092]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39144 0.      0.      0.60856]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22405491 0.45460641 0.         0.32133867]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17527619 0.         0.82472381]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49309308 0.18948348 0.31742344]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33014245 0.66985755 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.60836895 0.         0.39163105]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.87697587 0.12302413]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30346011 0.69653989 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43750165 0.         0.         0.56249835]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12566742 0.11105249 0.09747703 0.12807983 0.53772323]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09135877 0.66849098 0.09811753 0.14203273]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2014662  0.60214166 0.19639214]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27558456 0.         0.29597242 0.42844302]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14412721 0.12736543 0.11179582 0.         0.61671153]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09708374 0.07114007 0.13426221 0.69751398]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79465292 0.10544773 0.09989936]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32095281 0.23518467 0.44386252 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14881351 0.13062201 0.         0.72056448]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28860626 0.12382175 0.51528645 0.07228553]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16504334 0.37882828 0.45612839]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43111331 0.28051409 0.10779463 0.18057797]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.14957219 0.14664857 0.70377924]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49309308 0.18948348 0.31742344]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.45371011 0.54628989]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59541613 0.25545345 0.         0.14913042]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53255045 0.46744955 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24783255 0.5212873  0.23088015]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.        0.3463451 0.6536549 0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50493487 0.49506513 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51770623 0.         0.48229377]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10498253 0.53594464 0.2240962  0.13497663]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22622846 0.         0.48290833 0.29086321]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50637672 0.         0.49362328]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43750165 0.         0.         0.56249835]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.63139802 0.         0.36860198]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37380331 0.62619669]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978131 0.34448551 0.24223349 0.24349968]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.41493346 0.2917707  0.29329584]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.40856724 0.59143276]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.58713884 0.41286116 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51350974 0.48649026]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12566742 0.11105249 0.09747703 0.12807983 0.53772323]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09135877 0.66849098 0.09811753 0.14203273]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79465292 0.10544773 0.09989936]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10129786 0.7412174  0.         0.15748474]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2014662  0.60214166 0.19639214]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978131 0.34448551 0.24223349 0.24349968]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25070213 0.74929787 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39144 0.      0.      0.60856]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25900466 0.         0.36953187 0.37146347]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43111331 0.28051409 0.10779463 0.18057797]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.14957219 0.14664857 0.70377924]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49309308 0.18948348 0.31742344]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16504334 0.37882828 0.45612839]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10498253 0.53594464 0.2240962  0.13497663]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2656968 0.        0.7343032]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28860626 0.12382175 0.51528645 0.07228553]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14412721 0.12736543 0.11179582 0.         0.61671153]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22622846 0.         0.48290833 0.29086321]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43750165 0.         0.         0.56249835]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16226811 0.14339657 0.         0.         0.69433532]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17405516 0.7243337  0.10161115]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19374145 0.80625855 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37380331 0.62619669]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.49869662 0.50130338]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88832474 0.         0.11167526]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09708374 0.07114007 0.13426221 0.69751398]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24783255 0.5212873  0.23088015]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11213989 0.08217277 0.         0.80568734]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.53086968 0.46913032 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51770623 0.         0.48229377]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57711056 0.42288944 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50493487 0.49506513 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12566742 0.11105249 0.09747703 0.12807983 0.53772323]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28860626 0.12382175 0.51528645 0.07228553]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27184455 0.24022944 0.21086292 0.27706309 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09708374 0.07114007 0.13426221 0.69751398]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79465292 0.10544773 0.09989936]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32095281 0.23518467 0.44386252 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24783255 0.5212873  0.23088015]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.14957219 0.14664857 0.70377924]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43111331 0.28051409 0.10779463 0.18057797]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50493487 0.49506513 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32222878 0.67777122 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57711056 0.42288944 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32991505 0.28958504 0.38049992 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10498253 0.53594464 0.2240962  0.13497663]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16504334 0.37882828 0.45612839]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17405516 0.7243337  0.10161115]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30346011 0.69653989 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49309308 0.18948348 0.31742344]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978131 0.34448551 0.24223349 0.24349968]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2014662  0.60214166 0.19639214]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22622846 0.         0.48290833 0.29086321]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46439766 0.         0.53560234 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09135877 0.66849098 0.09811753 0.14203273]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75405908 0.24594092]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27558456 0.         0.29597242 0.42844302]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25900466 0.         0.36953187 0.37146347]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51350974 0.48649026]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41081325 0.         0.         0.58918675]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.48216463 0.         0.51783537 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.63139802 0.         0.36860198]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.62409678 0.37590322]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.60836895 0.         0.39163105]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12566742 0.11105249 0.09747703 0.12807983 0.53772323]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28860626 0.12382175 0.51528645 0.07228553]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27184455 0.24022944 0.21086292 0.27706309 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09708374 0.07114007 0.13426221 0.69751398]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24783255 0.5212873  0.23088015]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.14957219 0.14664857 0.70377924]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43111331 0.28051409 0.10779463 0.18057797]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17405516 0.7243337  0.10161115]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52611876 0.34233164 0.13154959 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978131 0.34448551 0.24223349 0.24349968]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09135877 0.66849098 0.09811753 0.14203273]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2014662  0.60214166 0.19639214]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22442993 0.45536731 0.32020276 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25070213 0.74929787 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27558456 0.         0.29597242 0.42844302]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41207575 0.         0.58792425 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79465292 0.10544773 0.09989936]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11213989 0.08217277 0.         0.80568734]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50493487 0.49506513 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12217973 0.         0.         0.87782027]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51350974 0.48649026]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.48216463 0.         0.51783537 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32991505 0.28958504 0.38049992 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32222878 0.67777122 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.43216168 0.56783832 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60581325 0.39418675 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16504334 0.37882828 0.45612839]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10498253 0.53594464 0.2240962  0.13497663]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2656968 0.        0.7343032]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22622846 0.         0.48290833 0.29086321]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43750165 0.         0.         0.56249835]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.87697587 0.12302413]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
Iteration 36, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13959455 0.11603826 0.1019974  0.11593903 0.52643076]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09891299 0.0719627  0.15207711 0.6770472 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78050279 0.10755159 0.11194562]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30627692 0.22282731 0.47089577 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13486462 0.11854574 0.1347493  0.61184033]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33962246 0.12854793 0.46207958 0.06975004]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17430319 0.37985766 0.44583915]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6313619  0.23897201 0.         0.12966609]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34744626 0.30540458 0.34714916 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28117986 0.48124403 0.23757612]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.32120498 0.67879502 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16461192 0.15457178 0.68081629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44638311 0.27561653 0.10152033 0.17648003]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51572784 0.48427216 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54202721 0.         0.45797279]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.46801445 0.53198555 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10520438 0.51822689 0.25352481 0.12304392]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21706913 0.60479501 0.17813585]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09215403 0.63077373 0.10501522 0.17205702]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.69480258 0.11567515 0.18952226]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14993465 0.34274123 0.24294908 0.26437504]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54925707 0.         0.45074293]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22812119 0.         0.36963993 0.40223889]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49784704 0.1833765  0.31877646]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31453537 0.68546463 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14093486 0.69423191 0.         0.16483323]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36518056 0.63481944]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64825641 0.         0.35174359]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46092075 0.         0.         0.53907925]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.85727535 0.14272465 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.47888337 0.52111663]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4899907 0.5100093]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13959455 0.11603826 0.1019974  0.11593903 0.52643076]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09891299 0.0719627  0.15207711 0.6770472 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78050279 0.10755159 0.11194562]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30627692 0.22282731 0.47089577 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16461192 0.15457178 0.68081629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44638311 0.27561653 0.10152033 0.17648003]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51572784 0.48427216 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28117986 0.48124403 0.23757612]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3940912 0.        0.6059088 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36879728 0.63120272 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13486462 0.11854574 0.1347493  0.61184033]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33962246 0.12854793 0.46207958 0.06975004]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17430319 0.37985766 0.44583915]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10520438 0.51822689 0.25352481 0.12304392]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34744626 0.30540458 0.34714916 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.57915671 0.28333265 0.13751064]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28106965 0.         0.71893035]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6313619  0.23897201 0.         0.12966609]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.50021387 0.         0.49978613 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09215403 0.63077373 0.10501522 0.17205702]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21706913 0.60479501 0.17813585]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14993465 0.34274123 0.24294908 0.26437504]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24958686 0.         0.28441969 0.46599345]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.67324977 0.32675023]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26411802 0.73588198 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.37901747 0.62098253]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20381942 0.46591843 0.33026215 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49784704 0.1833765  0.31877646]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36518056 0.63481944]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64825641 0.         0.35174359]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.58519191 0.41480809 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4899907 0.5100093]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13959455 0.11603826 0.1019974  0.11593903 0.52643076]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33962246 0.12854793 0.46207958 0.06975004]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17430319 0.37985766 0.44583915]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10520438 0.51822689 0.25352481 0.12304392]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21706913 0.60479501 0.17813585]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09215403 0.63077373 0.10501522 0.17205702]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14993465 0.34274123 0.24294908 0.26437504]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78050279 0.10755159 0.11194562]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1113048  0.76185649 0.12683871 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54925707 0.         0.45074293]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14093486 0.69423191 0.         0.16483323]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6313619  0.23897201 0.         0.12966609]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44638311 0.27561653 0.10152033 0.17648003]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16461192 0.15457178 0.68081629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49784704 0.1833765  0.31877646]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28106965 0.         0.71893035]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36518056 0.63481944]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82961719 0.         0.         0.17038281]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29477115 0.24502913 0.21538012 0.2448196  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09891299 0.0719627  0.15207711 0.6770472 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28117986 0.48124403 0.23757612]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11665328 0.0848694  0.         0.79847732]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87456349 0.         0.12543651]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57885933 0.42114067 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34744626 0.30540458 0.34714916 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16875056 0.83124944 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.50021387 0.         0.49978613 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46738539 0.         0.53261461 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19805095 0.45273207 0.         0.34921698]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54202721 0.         0.45797279]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51572784 0.48427216 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.30432716 0.69567284 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13959455 0.11603826 0.1019974  0.11593903 0.52643076]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33962246 0.12854793 0.46207958 0.06975004]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29477115 0.24502913 0.21538012 0.2448196  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09891299 0.0719627  0.15207711 0.6770472 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78050279 0.10755159 0.11194562]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30627692 0.22282731 0.47089577 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28117986 0.48124403 0.23757612]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16461192 0.15457178 0.68081629]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57885933 0.42114067 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.18502991 0.81497009]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44638311 0.27561653 0.10152033 0.17648003]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36879728 0.63120272 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34744626 0.30540458 0.34714916 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09215403 0.63077373 0.10501522 0.17205702]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14993465 0.34274123 0.24294908 0.26437504]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1113048  0.76185649 0.12683871 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21706913 0.60479501 0.17813585]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10520438 0.51822689 0.25352481 0.12304392]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53219854 0.46780146 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.57915671 0.28333265 0.13751064]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77247563 0.22752437]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20381942 0.46591843 0.33026215 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49784704 0.1833765  0.31877646]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19465823 0.69972031 0.10562145]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17430319 0.37985766 0.44583915]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.80812487 0.         0.19187513]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28106965 0.         0.71893035]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64825641 0.         0.35174359]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73081303 0.26918697 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.58519191 0.41480809 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46738539 0.         0.53261461 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4899907 0.5100093]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13959455 0.11603826 0.1019974  0.11593903 0.52643076]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33962246 0.12854793 0.46207958 0.06975004]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17430319 0.37985766 0.44583915]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6313619  0.23897201 0.         0.12966609]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29477115 0.24502913 0.21538012 0.2448196  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09891299 0.0719627  0.15207711 0.6770472 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34744626 0.30540458 0.34714916 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10520438 0.51822689 0.25352481 0.12304392]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31453537 0.68546463 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21836913 0.         0.5262328  0.25539806]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21706913 0.60479501 0.17813585]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09215403 0.63077373 0.10501522 0.17205702]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54925707 0.         0.45074293]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46092075 0.         0.         0.53907925]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.50021387 0.         0.49978613 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24958686 0.         0.28441969 0.46599345]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14993465 0.34274123 0.24294908 0.26437504]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22812119 0.         0.36963993 0.40223889]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44638311 0.27561653 0.10152033 0.17648003]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16461192 0.15457178 0.68081629]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28117986 0.48124403 0.23757612]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19470834 0.         0.80529166]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.0798621  0.16877073 0.75136717]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78050279 0.10755159 0.11194562]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.32120498 0.67879502 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36879728 0.63120272 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49784704 0.1833765  0.31877646]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36518056 0.63481944]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.47888337 0.52111663]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4899907 0.5100093]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46738539 0.         0.53261461 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64825641 0.         0.35174359]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
Iteration 37, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13323789 0.10641453 0.11697691 0.10910567 0.53426501]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1061768  0.51356861 0.2539973  0.12625729]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22008934 0.34663687 0.4332738 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3374786  0.1078618  0.48735555 0.06730405]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42221595 0.30379428 0.10878605 0.16520372]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17056597 0.17039585 0.65903819]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.52579209 0.1882815  0.28592641]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38835215 0.61164785 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21827702 0.         0.52216471 0.25955827]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20954373 0.62046361 0.16999265]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09513562 0.62903702 0.11048861 0.16533875]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15088834 0.1205116  0.         0.12355924 0.60504082]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37828063 0.         0.5462781  0.07544128]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3970442 0.6029558]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16704626 0.33187586 0.23604159 0.26503629]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.6951727  0.12210516 0.18272214]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22728504 0.45155408 0.32116088 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78441791 0.10328898 0.11229311]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.85059529 0.14940471 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55210446 0.         0.44789554]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4568039 0.        0.        0.5431961]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.83372793 0.         0.         0.16627207]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38203527 0.30512419 0.         0.31284054 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09976965 0.07232179 0.16214467 0.66576389]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.49375664 0.         0.50624336 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87477224 0.         0.12522776]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08033698 0.18011465 0.73954838]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3348143 0.6651857 0.        0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32238122 0.46027561 0.21734317]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.30845259 0.69154741 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67925451 0.32074549]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50024947 0.49975053 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13323789 0.10641453 0.11697691 0.10910567 0.53426501]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3374786  0.1078618  0.48735555 0.06730405]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22008934 0.34663687 0.4332738 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1061768  0.51356861 0.2539973  0.12625729]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20954373 0.62046361 0.16999265]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09513562 0.62903702 0.11048861 0.16533875]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55210446 0.         0.44789554]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14232763 0.68842729 0.         0.16924508]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33685607 0.         0.66314393]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65830928 0.21040275 0.         0.13128797]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42221595 0.30379428 0.10878605 0.16520372]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17056597 0.17039585 0.65903819]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.52579209 0.1882815  0.28592641]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3970442 0.6029558]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.83372793 0.         0.         0.16627207]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2860809  0.22848729 0.25116625 0.23426556 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25645583 0.         0.29784268 0.44570149]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37360329 0.29838973 0.32800698 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09976965 0.07232179 0.16214467 0.66576389]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78441791 0.10328898 0.11229311]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29850051 0.21637933 0.48512015 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32238122 0.46027561 0.21734317]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50024947 0.49975053 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.41190623 0.58809377 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57974791 0.42025209 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47635903 0.52364097 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4568039 0.        0.        0.5431961]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.        0.4005716 0.5994284]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16704626 0.33187586 0.23604159 0.26503629]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25002278 0.         0.35329002 0.3966872 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4791167 0.5208833]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38660727 0.         0.         0.61339273]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13323789 0.10641453 0.11697691 0.10910567 0.53426501]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32238122 0.46027561 0.21734317]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1491048  0.         0.13090735 0.12209875 0.5978891 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1061768  0.51356861 0.2539973  0.12625729]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3374786  0.1078618  0.48735555 0.06730405]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22008934 0.34663687 0.4332738 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12151952 0.58778014 0.29070034 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33685607 0.         0.66314393]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42221595 0.30379428 0.10878605 0.16520372]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65830928 0.21040275 0.         0.13128797]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17156376 0.         0.         0.14048991 0.68794633]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61576959 0.         0.38423041]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60645287 0.         0.15625561 0.23729153]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17056597 0.17039585 0.65903819]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3970442 0.6029558]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16704626 0.33187586 0.23604159 0.26503629]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09513562 0.62903702 0.11048861 0.16533875]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20954373 0.62046361 0.16999265]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25645583 0.         0.29784268 0.44570149]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22728504 0.45155408 0.32116088 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55210446 0.         0.44789554]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41441651 0.         0.58558349 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78441791 0.10328898 0.11229311]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09976965 0.07232179 0.16214467 0.66576389]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4791167 0.5208833]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46266737 0.         0.53733263 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.54978928 0.         0.         0.45021072 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29850051 0.21637933 0.48512015 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67925451 0.32074549]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57974791 0.42025209 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29479298 0.         0.70520702 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50024947 0.49975053 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13323789 0.10641453 0.11697691 0.10910567 0.53426501]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3374786  0.1078618  0.48735555 0.06730405]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22008934 0.34663687 0.4332738 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65830928 0.21040275 0.         0.13128797]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2860809  0.22848729 0.25116625 0.23426556 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09976965 0.07232179 0.16214467 0.66576389]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78441791 0.10328898 0.11229311]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29850051 0.21637933 0.48512015 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32004648 0.35181332 0.3281402  0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1061768  0.51356861 0.2539973  0.12625729]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.49375664 0.         0.50624336 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32238122 0.46027561 0.21734317]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17056597 0.17039585 0.65903819]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42221595 0.30379428 0.10878605 0.16520372]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38835215 0.61164785 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.57457516 0.28416951 0.14125533]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61576959 0.         0.38423041]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.66908731 0.33091269 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60645287 0.         0.15625561 0.23729153]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79513062 0.         0.20486938 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50024947 0.49975053 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.30845259 0.69154741 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.41190623 0.58809377 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09513562 0.62903702 0.11048861 0.16533875]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20954373 0.62046361 0.16999265]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78494363 0.21505637]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25645583 0.         0.29784268 0.44570149]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16704626 0.33187586 0.23604159 0.26503629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39843252 0.28337899 0.31818849]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46266737 0.         0.53733263 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4791167 0.5208833]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.58437341 0.41562659 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13323789 0.10641453 0.11697691 0.10910567 0.53426501]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3374786  0.1078618  0.48735555 0.06730405]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1061768  0.51356861 0.2539973  0.12625729]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20954373 0.62046361 0.16999265]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09513562 0.62903702 0.11048861 0.16533875]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55210446 0.         0.44789554]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14232763 0.68842729 0.         0.16924508]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36183131 0.11564519 0.5225235  0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22008934 0.34663687 0.4332738 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75779919 0.24220081 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2860809  0.22848729 0.25116625 0.23426556 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09976965 0.07232179 0.16214467 0.66576389]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78441791 0.10328898 0.11229311]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25645583 0.         0.29784268 0.44570149]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16704626 0.33187586 0.23604159 0.26503629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42221595 0.30379428 0.10878605 0.16520372]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39843252 0.28337899 0.31818849]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.47106767 0.52893233]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46266737 0.         0.53733263 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32004648 0.35181332 0.3281402  0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.17132325 0.82867675 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.49375664 0.         0.50624336 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32238122 0.46027561 0.21734317]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87477224 0.         0.12522776]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29850051 0.21637933 0.48512015 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47375375 0.34087694 0.         0.18536931]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38835215 0.61164785 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.71876373 0.         0.         0.28123627]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17056597 0.17039585 0.65903819]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.30845259 0.69154741 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67925451 0.32074549]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.20543628 0.79456372]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 38, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12971215 0.11893407 0.10172183 0.10764326 0.54198869]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10084254 0.59992549 0.12928115 0.16995082]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15463596 0.30814944 0.23992698 0.29728763]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78569084 0.09206398 0.12224518]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20344881 0.40542084 0.         0.39113035]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39949606 0.31030952 0.10939272 0.1808017 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17378609 0.17899059 0.64722333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51674852 0.18216819 0.30108329]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.50897022 0.         0.49102978]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12148984 0.72275897 0.1557512  0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21594823 0.60998873 0.17406305]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26145849 0.73854151 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43821015 0.         0.56178985 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14535907 0.13328086 0.11399233 0.         0.60736773]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34006167 0.13256083 0.46594363 0.06143387]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37021683 0.33945468 0.29032849 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10097782 0.07974912 0.14359822 0.67567485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89511424 0.10488576 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31134748 0.24589248 0.44276004 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49262352 0.50737648 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.41286882 0.         0.58713118 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53900246 0.46099754 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10345479 0.53300463 0.24669059 0.11684999]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20995778 0.30431832 0.48572389]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2215328 0.        0.5282506 0.2502166]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46959847 0.         0.         0.53040153]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20086851 0.70604116 0.09309032]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30180151 0.         0.69819849]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.68332191 0.         0.31667809]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.63185182 0.         0.36814818]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27759137 0.49789603 0.2245126 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55285636 0.         0.44714364]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12971215 0.11893407 0.10172183 0.10764326 0.54198869]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34006167 0.13256083 0.46594363 0.06143387]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20995778 0.30431832 0.48572389]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63675238 0.24821506 0.         0.11503256]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2832073  0.25967497 0.22209457 0.23502315 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10097782 0.07974912 0.14359822 0.67567485]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27759137 0.49789603 0.2245126 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36227346 0.30984492 0.32788163 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68921662 0.31078338]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1179094  0.09312115 0.         0.78896945]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78569084 0.09206398 0.12224518]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55873143 0.44126857 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.48585859 0.51414141 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10345479 0.53300463 0.24669059 0.11684999]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40825887 0.59174113 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2215328 0.        0.5282506 0.2502166]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21594823 0.60998873 0.17406305]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10084254 0.59992549 0.12928115 0.16995082]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15463596 0.30814944 0.23992698 0.29728763]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5536974 0.        0.4463026]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46959847 0.         0.         0.53040153]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.68332191 0.         0.31667809]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39949606 0.31030952 0.10939272 0.1808017 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12148984 0.72275897 0.1557512  0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22351063 0.         0.34679018 0.42969919]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.42958491 0.57041509]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43821015 0.         0.56178985 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3421728 0.        0.        0.6578272]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.48766711 0.37879659 0.13353631 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.7850361 0.        0.2149639 0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17378609 0.17899059 0.64722333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.21663952 0.78336048]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12971215 0.11893407 0.10172183 0.10764326 0.54198869]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34006167 0.13256083 0.46594363 0.06143387]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39949606 0.31030952 0.10939272 0.1808017 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17378609 0.17899059 0.64722333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51674852 0.18216819 0.30108329]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15463596 0.30814944 0.23992698 0.29728763]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10084254 0.59992549 0.12928115 0.16995082]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22005583 0.43851432 0.34142985 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21594823 0.60998873 0.17406305]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12148984 0.72275897 0.1557512  0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5536974 0.        0.4463026]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10345479 0.53300463 0.24669059 0.11684999]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39202941 0.         0.53714848 0.07082211]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20995778 0.30431832 0.48572389]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.63185182 0.         0.36814818]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.38519248 0.61480752]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11714294 0.60352672 0.27933033 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2832073  0.25967497 0.22209457 0.23502315 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27759137 0.49789603 0.2245126 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10097782 0.07974912 0.14359822 0.67567485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78569084 0.09206398 0.12224518]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31134748 0.24589248 0.44276004 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38254455 0.         0.29999603 0.31745942 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35706321 0.64293679 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55285636 0.         0.44714364]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49262352 0.50737648 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.48585859 0.51414141 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.68360639 0.31639361 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39191709 0.         0.60808291 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.42958491 0.57041509]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.84698741 0.         0.         0.15301259]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43821015 0.         0.56178985 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12971215 0.11893407 0.10172183 0.10764326 0.54198869]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10084254 0.59992549 0.12928115 0.16995082]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21594823 0.60998873 0.17406305]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25205939 0.         0.32314269 0.42479792]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15463596 0.30814944 0.23992698 0.29728763]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78569084 0.09206398 0.12224518]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10097782 0.07974912 0.14359822 0.67567485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.42958491 0.57041509]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20344881 0.40542084 0.         0.39113035]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43821015 0.         0.56178985 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14535907 0.13328086 0.11399233 0.         0.60736773]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27759137 0.49789603 0.2245126 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16771185 0.         0.13152165 0.         0.70076649]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10345479 0.53300463 0.24669059 0.11684999]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5536974 0.        0.4463026]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13733373 0.70755074 0.         0.15511554]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34006167 0.13256083 0.46594363 0.06143387]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20995778 0.30431832 0.48572389]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16254735 0.83745265 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30180151 0.         0.69819849]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39949606 0.31030952 0.10939272 0.1808017 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17378609 0.17899059 0.64722333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51674852 0.18216819 0.30108329]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63675238 0.24821506 0.         0.11503256]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19311 0.      0.      0.      0.80689]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.68332191 0.         0.31667809]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37696355 0.62303645]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33414182 0.66585818 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31134748 0.24589248 0.44276004 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68921662 0.31078338]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49262352 0.50737648 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55873143 0.44126857 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12971215 0.11893407 0.10172183 0.10764326 0.54198869]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10097782 0.07974912 0.14359822 0.67567485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78569084 0.09206398 0.12224518]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31134748 0.24589248 0.44276004 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27759137 0.49789603 0.2245126 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55873143 0.44126857 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17378609 0.17899059 0.64722333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55285636 0.         0.44714364]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21167368 0.         0.78832632]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39949606 0.31030952 0.10939272 0.1808017 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13666062 0.11688297 0.12368697 0.62276945]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34006167 0.13256083 0.46594363 0.06143387]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20995778 0.30431832 0.48572389]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63675238 0.24821506 0.         0.11503256]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36227346 0.30984492 0.32788163 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10345479 0.53300463 0.24669059 0.11684999]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21594823 0.60998873 0.17406305]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10084254 0.59992549 0.12928115 0.16995082]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5536974 0.        0.4463026]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13733373 0.70755074 0.         0.15511554]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40825887 0.59174113 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46959847 0.         0.         0.53040153]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52491602 0.         0.47508398 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25205939 0.         0.32314269 0.42479792]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15463596 0.30814944 0.23992698 0.29728763]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43821015 0.         0.56178985 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.42958491 0.57041509]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22005583 0.43851432 0.34142985 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39191709 0.         0.60808291 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51674852 0.18216819 0.30108329]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.68332191 0.         0.31667809]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73935636 0.26064364 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
Iteration 39, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14056847 0.11989008 0.09745999 0.09573614 0.54634532]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38549288 0.1131551  0.4288747  0.07247733]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30985786 0.26427609 0.21483299 0.21103307 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09660965 0.56316779 0.23460569 0.10561687]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.18992792 0.64591954 0.16415254]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15519212 0.36656424 0.21698216 0.26126147]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22722796 0.77277204 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08561288 0.6194664  0.10617117 0.18874955]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12622207 0.73578779 0.         0.13799014]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22190815 0.28845746 0.48963439]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18413961 0.69791656 0.11794383]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40231301 0.30071808 0.11452064 0.18244826]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17909864 0.17936013 0.64154123]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27352184 0.5135022  0.21297595]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21824267 0.         0.78175733]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50313641 0.19160638 0.30525721]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24500057 0.         0.34254801 0.41245142]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7943501  0.09633109 0.10931881]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22498114 0.         0.27900602 0.49601284]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87902781 0.         0.12097219]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08756307 0.08280148 0.15922586 0.67040959]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09546796 0.         0.17360022 0.73093182]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37265166 0.         0.         0.62734834]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.31204302 0.         0.         0.68795698]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.62239037 0.         0.37760963]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43480231 0.56519769 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85543626 0.14456374]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47772987 0.         0.         0.52227013]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39463942 0.33658583 0.         0.26877475 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35480956 0.         0.64519044 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.55600883 0.         0.44399117 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34753937 0.65246063 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14056847 0.11989008 0.09745999 0.09573614 0.54634532]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08756307 0.08280148 0.15922586 0.67040959]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27352184 0.5135022  0.21297595]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10414578 0.09848243 0.         0.7973718 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7943501  0.09633109 0.10931881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.51397473 0.48602527 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17909864 0.17936013 0.64154123]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56222627 0.         0.43777373]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13949928 0.11340053 0.11139472 0.63570546]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09660965 0.56316779 0.23460569 0.10561687]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22190815 0.28845746 0.48963439]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38549288 0.1131551  0.4288747  0.07247733]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43480231 0.56519769 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22115963 0.         0.53706134 0.24177903]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.18992792 0.64591954 0.16415254]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08561288 0.6194664  0.10617117 0.18874955]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53639762 0.         0.46360238]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47772987 0.         0.         0.52227013]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15734194 0.         0.12564267 0.71701539]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67497075 0.19812658 0.         0.12690267]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40231301 0.30071808 0.11452064 0.18244826]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15519212 0.36656424 0.21698216 0.26126147]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22498114 0.         0.27900602 0.49601284]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2100772  0.49620296 0.29371984 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41698777 0.         0.58301223 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46842273 0.53157727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44640252 0.         0.55359748 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45434488 0.33961049 0.         0.20604463]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21824267 0.         0.78175733]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.55600883 0.         0.44399117 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.62239037 0.         0.37760963]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.84174227 0.         0.         0.15825773]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14056847 0.11989008 0.09745999 0.09573614 0.54634532]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38549288 0.1131551  0.4288747  0.07247733]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30985786 0.26427609 0.21483299 0.21103307 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27352184 0.5135022  0.21297595]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42116051 0.         0.29200218 0.28683731 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09660965 0.56316779 0.23460569 0.10561687]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18413961 0.69791656 0.11794383]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22190815 0.28845746 0.48963439]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10801819 0.62967174 0.26231006 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31186912 0.         0.68813088]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60956538 0.         0.39043462]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40231301 0.30071808 0.11452064 0.18244826]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17909864 0.17936013 0.64154123]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08756307 0.08280148 0.15922586 0.67040959]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.70683777 0.29316223]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10414578 0.09848243 0.         0.7973718 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7943501  0.09633109 0.10931881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.51397473 0.48602527 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59486131 0.         0.         0.40513869 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.21849169 0.78150831]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50313641 0.19160638 0.30525721]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.38563176 0.61436824]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29168229 0.         0.70831771 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08561288 0.6194664  0.10617117 0.18874955]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.18992792 0.64591954 0.16415254]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22498114 0.         0.27900602 0.49601284]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46842273 0.53157727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.31204302 0.         0.         0.68795698]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15519212 0.36656424 0.21698216 0.26126147]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2100772  0.49620296 0.29371984 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.29744174 0.70255826 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53639762 0.         0.46360238]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14056847 0.11989008 0.09745999 0.09573614 0.54634532]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38549288 0.1131551  0.4288747  0.07247733]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30985786 0.26427609 0.21483299 0.21103307 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27352184 0.5135022  0.21297595]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08756307 0.08280148 0.15922586 0.67040959]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7943501  0.09633109 0.10931881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.26567239 0.25122538 0.48310223 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56222627 0.         0.43777373]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17909864 0.17936013 0.64154123]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40231301 0.30071808 0.11452064 0.18244826]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49963527 0.50036473 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42116051 0.         0.29200218 0.28683731 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.51397473 0.48602527 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50446141 0.49553859 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08561288 0.6194664  0.10617117 0.18874955]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.18992792 0.64591954 0.16415254]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15519212 0.36656424 0.21698216 0.26126147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50313641 0.19160638 0.30525721]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22190815 0.28845746 0.48963439]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.38563176 0.61436824]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.43390249 0.25684202 0.30925549]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22722796 0.77277204 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22498114 0.         0.27900602 0.49601284]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46842273 0.53157727]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.45370632 0.54629368]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.31204302 0.         0.         0.68795698]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09660965 0.56316779 0.23460569 0.10561687]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.37072418 0.62927582]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18413961 0.69791656 0.11794383]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85543626 0.14456374]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22115963 0.         0.53706134 0.24177903]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68956536 0.31043464]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14056847 0.11989008 0.09745999 0.09573614 0.54634532]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09660965 0.56316779 0.23460569 0.10561687]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38549288 0.1131551  0.4288747  0.07247733]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22190815 0.28845746 0.48963439]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67497075 0.19812658 0.         0.12690267]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15574763 0.13283631 0.         0.10607412 0.60534194]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60956538 0.         0.39043462]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40231301 0.30071808 0.11452064 0.18244826]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43480231 0.56519769 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57532306 0.         0.16376891 0.26090802]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10801819 0.62967174 0.26231006 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29168229 0.         0.70831771 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.18992792 0.64591954 0.16415254]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39463942 0.33658583 0.         0.26877475 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08756307 0.08280148 0.15922586 0.67040959]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7943501  0.09633109 0.10931881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.26567239 0.25122538 0.48310223 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.55600883 0.         0.44399117 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08561288 0.6194664  0.10617117 0.18874955]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.79736057 0.20263943]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22498114 0.         0.27900602 0.49601284]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15519212 0.36656424 0.21698216 0.26126147]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24500057 0.         0.34254801 0.41245142]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46842273 0.53157727]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37265166 0.         0.         0.62734834]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77841876 0.         0.22158124 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17909864 0.17936013 0.64154123]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44640252 0.         0.55359748 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27352184 0.5135022  0.21297595]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34211621 0.65788379 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49963527 0.50036473 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56222627 0.         0.43777373]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
Iteration 40, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17203706 0.12632571 0.10725545 0.10644874 0.48793304]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11065772 0.53760536 0.24299767 0.10873924]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20454423 0.33339402 0.46206174]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36704232 0.11805967 0.44085325 0.07404476]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19270581 0.14150264 0.         0.11923762 0.54655393]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08051051 0.07295587 0.13156757 0.71496605]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7456803  0.12998269 0.12433701]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28245936 0.25595503 0.46158561 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25783014 0.4852919  0.25687797]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.17528014 0.         0.14770034 0.67701952]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18652064 0.69649719 0.11698217]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23931446 0.         0.5255201  0.23516544]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19479868 0.64276075 0.16244057]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50437217 0.         0.         0.49562783]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21123089 0.78876911 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38023738 0.61976262 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54269578 0.         0.45730422 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.65388251 0.34611749]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19150023 0.16687467 0.6416251 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39317144 0.31368849 0.11464647 0.17849361]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47859815 0.38184546 0.13955639 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15675807 0.34136639 0.2222043  0.27967124]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51109956 0.48890044]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10106078 0.60077344 0.12220157 0.17596421]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.66831375 0.13593974 0.1957465 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.79826092 0.20173908]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.40984438 0.59015562]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20154145 0.43888953 0.         0.35956903]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35918319 0.         0.         0.64081681]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55622256 0.44377744 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53435725 0.46564275 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52461331 0.47538669 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17203706 0.12632571 0.10725545 0.10644874 0.48793304]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36704232 0.11805967 0.44085325 0.07404476]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20454423 0.33339402 0.46206174]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65643289 0.21114255 0.         0.13242456]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33596594 0.24669764 0.20945591 0.20788051 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25783014 0.4852919  0.25687797]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19150023 0.16687467 0.6416251 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39317144 0.31368849 0.11464647 0.17849361]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53435725 0.46564275 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08051051 0.07295587 0.13156757 0.71496605]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7456803  0.12998269 0.12433701]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10106078 0.60077344 0.12220157 0.17596421]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19479868 0.64276075 0.16244057]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25314143 0.         0.30609579 0.44076278]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.85708674 0.         0.14291326]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28245936 0.25595503 0.46158561 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44599082 0.         0.27805026 0.27595892 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35671155 0.64328845 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34695531 0.65304469 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50188746 0.49811254 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36480745 0.         0.         0.63519255]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15675807 0.34136639 0.2222043  0.27967124]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11065772 0.53760536 0.24299767 0.10873924]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54528913 0.         0.45471087]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14617884 0.71017663 0.         0.14364453]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38023738 0.61976262 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50437217 0.         0.         0.49562783]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21762018 0.47390359 0.30847623 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51693099 0.18892728 0.29414174]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3146966 0.6853034 0.        0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.63734234 0.         0.36265766]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61455985 0.         0.38544015]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17203706 0.12632571 0.10725545 0.10644874 0.48793304]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36704232 0.11805967 0.44085325 0.07404476]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20454423 0.33339402 0.46206174]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39317144 0.31368849 0.11464647 0.17849361]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19150023 0.16687467 0.6416251 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51693099 0.18892728 0.29414174]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65643289 0.21114255 0.         0.13242456]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73234389 0.26765611 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41912327 0.58087673]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11065772 0.53760536 0.24299767 0.10873924]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19479868 0.64276075 0.16244057]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15675807 0.34136639 0.2222043  0.27967124]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10106078 0.60077344 0.12220157 0.17596421]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23257894 0.76742106 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25314143 0.         0.30609579 0.44076278]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7456803  0.12998269 0.12433701]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36480745 0.         0.         0.63519255]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21762018 0.47390359 0.30847623 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.85708674 0.         0.14291326]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08051051 0.07295587 0.13156757 0.71496605]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3146966 0.6853034 0.        0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14617884 0.71017663 0.         0.14364453]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.8321312 0.        0.        0.1678688]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33596594 0.24669764 0.20945591 0.20788051 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25783014 0.4852919  0.25687797]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28245936 0.25595503 0.46158561 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53435725 0.46564275 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.37962673 0.         0.62037327 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50092496 0.         0.49907504]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44599082 0.         0.27805026 0.27595892 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50188746 0.49811254 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50437217 0.         0.         0.49562783]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17203706 0.12632571 0.10725545 0.10644874 0.48793304]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36704232 0.11805967 0.44085325 0.07404476]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39317144 0.31368849 0.11464647 0.17849361]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20454423 0.33339402 0.46206174]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57287606 0.         0.16704728 0.26007666]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41617591 0.         0.49986743 0.08395666]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41912327 0.58087673]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.8321312 0.        0.        0.1678688]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11065772 0.53760536 0.24299767 0.10873924]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23931446 0.         0.5255201  0.23516544]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33596594 0.24669764 0.20945591 0.20788051 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10106078 0.60077344 0.12220157 0.17596421]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15675807 0.34136639 0.2222043  0.27967124]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77423705 0.         0.22576295 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19150023 0.16687467 0.6416251 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25783014 0.4852919  0.25687797]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22985765 0.         0.77014235]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08051051 0.07295587 0.13156757 0.71496605]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42413543 0.31143993 0.26442464 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.31289703 0.         0.68710297 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57660364 0.42339636 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.07934389 0.14308762 0.77756849]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7456803  0.12998269 0.12433701]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35671155 0.64328845 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.40482615 0.26351192 0.33166193]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51109956 0.48890044]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12264125 0.72906232 0.14829643 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34695531 0.65304469 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.83097401 0.16902599 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19479868 0.64276075 0.16244057]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54967102 0.         0.45032898]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54528913 0.         0.45471087]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17203706 0.12632571 0.10725545 0.10644874 0.48793304]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11065772 0.53760536 0.24299767 0.10873924]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19479868 0.64276075 0.16244057]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14617884 0.71017663 0.         0.14364453]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36704232 0.11805967 0.44085325 0.07404476]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39317144 0.31368849 0.11464647 0.17849361]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19150023 0.16687467 0.6416251 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51693099 0.18892728 0.29414174]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20454423 0.33339402 0.46206174]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41617591 0.         0.49986743 0.08395666]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19270581 0.14150264 0.         0.11923762 0.54655393]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85619529 0.14380471]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38023738 0.61976262 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.17069879 0.82930121 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3910979 0.6089021]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15675807 0.34136639 0.2222043  0.27967124]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10106078 0.60077344 0.12220157 0.17596421]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.79826092 0.20173908]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25314143 0.         0.30609579 0.44076278]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21762018 0.47390359 0.30847623 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41365076 0.         0.58634924 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42498065 0.31206057 0.         0.26295878 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25783014 0.4852919  0.25687797]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08051051 0.07295587 0.13156757 0.71496605]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7456803  0.12998269 0.12433701]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28245936 0.25595503 0.46158561 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50092496 0.         0.49907504]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53435725 0.46564275 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61775882 0.         0.         0.38224118 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45265483 0.         0.54734517 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52461331 0.47538669 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51109956 0.48890044]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
Iteration 41, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19260198 0.12505376 0.10156561 0.10940103 0.47137763]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.110824   0.56862132 0.21581775 0.10473694]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18031007 0.37534281 0.44434713]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25690652 0.         0.50029767 0.24279581]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31204975 0.12408413 0.49251951 0.07134662]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28865443 0.         0.71134557]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41178248 0.28853429 0.11271467 0.18696856]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61489999 0.24451014 0.         0.14058988]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21437512 0.13919075 0.         0.12176852 0.52466561]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.63492633 0.         0.36507367]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57878051 0.         0.158426   0.26279349]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16954658 0.14826156 0.68219187]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3761127 0.6238873]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15799913 0.33043587 0.25811871 0.2534463 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.74030098 0.13566429 0.12403474]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21297091 0.44540261 0.         0.34162648]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.33928302 0.         0.66071698 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2047185  0.61392716 0.18135434]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10358688 0.58601374 0.11508052 0.19531887]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53025876 0.         0.46974124]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.56592903 0.         0.43407097]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45099855 0.29282701 0.         0.25617444 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25021815 0.         0.27798149 0.47180036]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.84512595 0.15487405 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08198102 0.08403539 0.15208079 0.6819028 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.34655365 0.         0.         0.65344635]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.606323 0.393677 0.       0.       0.      ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26829455 0.50041996 0.23128549]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25772316 0.26418148 0.47809535 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53704017 0.         0.46295983]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53348721 0.46651279 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.49381274 0.50618726 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19260198 0.12505376 0.10156561 0.10940103 0.47137763]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26829455 0.50041996 0.23128549]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16954658 0.14826156 0.68219187]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08198102 0.08403539 0.15208079 0.6819028 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34901715 0.65098285 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22013007 0.         0.11608211 0.12503743 0.53875039]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.110824   0.56862132 0.21581775 0.10473694]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18031007 0.37534281 0.44434713]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31204975 0.12408413 0.49251951 0.07134662]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32450128 0.67549872 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41178248 0.28853429 0.11271467 0.18696856]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61489999 0.24451014 0.         0.14058988]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25690652 0.         0.50029767 0.24279581]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24903905 0.         0.         0.14145819 0.60950276]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.71549074 0.28450926 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50647793 0.354887   0.13863507 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.17853085 0.82146915]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.71909044 0.28090956 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.67326343 0.32673657]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2047185  0.61392716 0.18135434]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10358688 0.58601374 0.11508052 0.19531887]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53025876 0.         0.46974124]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15799913 0.33043587 0.25811871 0.2534463 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.63774855 0.         0.         0.36225145 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09668494 0.09910778 0.         0.80420728]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.74030098 0.13566429 0.12403474]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.49381274 0.50618726 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25021815 0.         0.27798149 0.47180036]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52239044 0.47760956]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23597311 0.         0.38550259 0.3785243 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.50456678 0.49543322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.34655365 0.         0.         0.65344635]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19260198 0.12505376 0.10156561 0.10940103 0.47137763]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10358688 0.58601374 0.11508052 0.19531887]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2047185  0.61392716 0.18135434]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25021815 0.         0.27798149 0.47180036]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21626118 0.14041534 0.11404191 0.         0.52928158]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08198102 0.08403539 0.15208079 0.6819028 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.74030098 0.13566429 0.12403474]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25772316 0.26418148 0.47809535 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26829455 0.50041996 0.23128549]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.17916088 0.14551009 0.         0.67532903]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68390903 0.31609097]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.49381274 0.50618726 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16954658 0.14826156 0.68219187]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.17726993 0.         0.82273007]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.110824   0.56862132 0.21581775 0.10473694]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18031007 0.37534281 0.44434713]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25690652 0.         0.50029767 0.24279581]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31204975 0.12408413 0.49251951 0.07134662]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18036788 0.71592314 0.10370898]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41178248 0.28853429 0.11271467 0.18696856]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.87346887 0.12653113]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28865443 0.         0.71134557]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50647793 0.354887   0.13863507 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.17853085 0.82146915]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.71909044 0.28090956 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.33928302 0.         0.66071698 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52239044 0.47760956]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15799913 0.33043587 0.25811871 0.2534463 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53025876 0.         0.46974124]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23597311 0.         0.38550259 0.3785243 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.37074982 0.62925018]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37969805 0.         0.62030195 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19260198 0.12505376 0.10156561 0.10940103 0.47137763]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26829455 0.50041996 0.23128549]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16954658 0.14826156 0.68219187]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41178248 0.28853429 0.11271467 0.18696856]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53348721 0.46651279 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08198102 0.08403539 0.15208079 0.6819028 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.74030098 0.13566429 0.12403474]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10358688 0.58601374 0.11508052 0.19531887]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15799913 0.33043587 0.25811871 0.2534463 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2047185  0.61392716 0.18135434]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12873034 0.72825585 0.14301381 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53025876 0.         0.46974124]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23597311 0.         0.38550259 0.3785243 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.85649704 0.         0.14350296]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25772316 0.26418148 0.47809535 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34901715 0.65098285 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35025371 0.         0.64974629 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22013007 0.         0.11608211 0.12503743 0.53875039]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.14884804 0.16033113 0.69082083]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31204975 0.12408413 0.49251951 0.07134662]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.110824   0.56862132 0.21581775 0.10473694]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18031007 0.37534281 0.44434713]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33602392 0.13361727 0.53035882 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32450128 0.67549872 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49052312 0.19162073 0.31785615]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25690652 0.         0.50029767 0.24279581]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.48142971 0.51857029 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.67326343 0.32673657]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.71549074 0.28450926 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47371889 0.         0.52628111 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38400993 0.         0.         0.61599007]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3761127 0.6238873]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19260198 0.12505376 0.10156561 0.10940103 0.47137763]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10358688 0.58601374 0.11508052 0.19531887]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2047185  0.61392716 0.18135434]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25021815 0.         0.27798149 0.47180036]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21626118 0.14041534 0.11404191 0.         0.52928158]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26829455 0.50041996 0.23128549]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08198102 0.08403539 0.15208079 0.6819028 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.74030098 0.13566429 0.12403474]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25772316 0.26418148 0.47809535 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25158799 0.         0.13267094 0.         0.61574107]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31204975 0.12408413 0.49251951 0.07134662]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18031007 0.37534281 0.44434713]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61489999 0.24451014 0.         0.14058988]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.110824   0.56862132 0.21581775 0.10473694]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32450128 0.67549872 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25690652 0.         0.50029767 0.24279581]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53025876 0.         0.46974124]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15799913 0.33043587 0.25811871 0.2534463 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52239044 0.47760956]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.37074982 0.62925018]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21297091 0.44540261 0.         0.34162648]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51411912 0.         0.         0.48588088]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.65473556 0.         0.34526444 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35590694 0.64409306 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16954658 0.14826156 0.68219187]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53704017 0.         0.46295983]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.71549074 0.28450926 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19905944 0.         0.80094056]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41178248 0.28853429 0.11271467 0.18696856]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49052312 0.19162073 0.31785615]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3761127 0.6238873]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38400993 0.         0.         0.61599007]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
Iteration 42, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1824528  0.13885095 0.10079053 0.10477648 0.47312923]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09498738 0.07452727 0.14136067 0.68912467]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75868383 0.1242733  0.11704287]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30554815 0.23973364 0.45471821 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.16983845 0.12328406 0.12815955 0.57871794]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25168895 0.51281476 0.23549628]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34521276 0.65478724 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16539197 0.146719   0.68788903]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41259649 0.29189274 0.10807033 0.18744044]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52991398 0.47008602 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5166186 0.        0.4833814]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.1485061  0.15437905 0.69711485]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10988755 0.54335007 0.23697332 0.10978906]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19071128 0.63464255 0.17464617]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14401535 0.71209839 0.         0.14388626]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18818437 0.36043002 0.45138561]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32711562 0.1243228  0.47485567 0.07370591]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50022418 0.         0.         0.49977582]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35314445 0.13421526 0.51264029 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34301756 0.65698244 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.         0.18130377 0.81869623]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.7246074 0.2753926 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08672535 0.66305346 0.0996219  0.15059929]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78419794 0.21580206]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16099703 0.32929331 0.24637914 0.26333052]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25738608 0.         0.29566084 0.44695308]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24004089 0.         0.3673426  0.39261651]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51498125 0.48501875]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46539646 0.         0.53460354 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37941687 0.         0.         0.62058313]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49692032 0.18397972 0.31909997]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36570691 0.63429309]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1824528  0.13885095 0.10079053 0.10477648 0.47312923]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08672535 0.66305346 0.0996219  0.15059929]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75868383 0.1242733  0.11704287]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09498738 0.07452727 0.14136067 0.68912467]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25168895 0.51281476 0.23549628]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16539197 0.146719   0.68788903]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41259649 0.29189274 0.10807033 0.18744044]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18818437 0.36043002 0.45138561]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10988755 0.54335007 0.23697332 0.10978906]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29423578 0.         0.70576422]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32711562 0.1243228  0.47485567 0.07370591]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58267513 0.         0.15261859 0.26470628]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52991398 0.47008602 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32921874 0.67078126 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11062547 0.08679695 0.         0.80257758]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20380698 0.15510199 0.112587   0.         0.52850402]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24063849 0.         0.5189387  0.2404228 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22966419 0.17477994 0.         0.         0.59555587]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37355731 0.         0.5422725  0.08417019]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36570691 0.63429309]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16099703 0.32929331 0.24637914 0.26333052]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09632103 0.73641669 0.         0.16726228]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19071128 0.63464255 0.17464617]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36542918 0.         0.         0.63457082]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21854717 0.44700278 0.33445004 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52198546 0.         0.47801454]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39520484 0.         0.60479516 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51498125 0.48501875]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56785146 0.43214854 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.09759325 0.         0.90240675]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81611289 0.         0.         0.18388711]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68338821 0.31661179]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1824528  0.13885095 0.10079053 0.10477648 0.47312923]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09498738 0.07452727 0.14136067 0.68912467]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75868383 0.1242733  0.11704287]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30554815 0.23973364 0.45471821 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16539197 0.146719   0.68788903]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40189618 0.         0.59810382 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.16983845 0.12328406 0.12815955 0.57871794]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08672535 0.66305346 0.0996219  0.15059929]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19071128 0.63464255 0.17464617]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25738608 0.         0.29566084 0.44695308]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.19480451 0.14140667 0.         0.66378882]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25168895 0.51281476 0.23549628]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.        0.1757939 0.8242061]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41259649 0.29189274 0.10807033 0.18744044]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16099703 0.32929331 0.24637914 0.26333052]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52198546 0.         0.47801454]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24004089 0.         0.3673426  0.39261651]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.39813534 0.60186466]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39520484 0.         0.60479516 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46258859 0.32725982 0.         0.21015159]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32921874 0.67078126 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.17561781 0.         0.82438219]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32711562 0.1243228  0.47485567 0.07370591]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10988755 0.54335007 0.23697332 0.10978906]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14401535 0.71209839 0.         0.14388626]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18818437 0.36043002 0.45138561]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50022418 0.         0.         0.49977582]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18476101 0.70570173 0.10953726]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29423578 0.         0.70576422]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.60895584 0.         0.39104416]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62780188 0.         0.37219812]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51498125 0.48501875]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1824528  0.13885095 0.10079053 0.10477648 0.47312923]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25168895 0.51281476 0.23549628]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09498738 0.07452727 0.14136067 0.68912467]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75868383 0.1242733  0.11704287]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30554815 0.23973364 0.45471821 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5166186 0.        0.4833814]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21187134 0.         0.11704192 0.12167056 0.54941619]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32711562 0.1243228  0.47485567 0.07370591]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.47021516 0.         0.25975615 0.27002869 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10988755 0.54335007 0.23697332 0.10978906]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18818437 0.36043002 0.45138561]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18476101 0.70570173 0.10953726]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34301756 0.65698244 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24063849 0.         0.5189387  0.2404228 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19071128 0.63464255 0.17464617]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50022418 0.         0.         0.49977582]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.63521657 0.         0.         0.36478343 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08672535 0.66305346 0.0996219  0.15059929]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78419794 0.21580206]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25738608 0.         0.29566084 0.44695308]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51498125 0.48501875]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36542918 0.         0.         0.63457082]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16099703 0.32929331 0.24637914 0.26333052]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24004089 0.         0.3673426  0.39261651]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37941687 0.         0.         0.62058313]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56034908 0.43965092 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16539197 0.146719   0.68788903]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41259649 0.29189274 0.10807033 0.18744044]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58267513 0.         0.15261859 0.26470628]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62780188 0.         0.37219812]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79243861 0.         0.20756139 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52991398 0.47008602 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1824528  0.13885095 0.10079053 0.10477648 0.47312923]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09498738 0.07452727 0.14136067 0.68912467]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75868383 0.1242733  0.11704287]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30554815 0.23973364 0.45471821 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25168895 0.51281476 0.23549628]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.16983845 0.12328406 0.12815955 0.57871794]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10988755 0.54335007 0.23697332 0.10978906]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19071128 0.63464255 0.17464617]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08672535 0.66305346 0.0996219  0.15059929]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52198546 0.         0.47801454]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14401535 0.71209839 0.         0.14388626]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.19372118 0.         0.14618139 0.66009743]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32711562 0.1243228  0.47485567 0.07370591]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.83190556 0.         0.16809444]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18818437 0.36043002 0.45138561]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35314445 0.13421526 0.51264029 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34301756 0.65698244 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.7246074 0.2753926 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.5699315 0.        0.4300685 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68529626 0.31470374]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56034908 0.43965092 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16539197 0.146719   0.68788903]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41259649 0.29189274 0.10807033 0.18744044]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52991398 0.47008602 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25738608 0.         0.29566084 0.44695308]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16099703 0.32929331 0.24637914 0.26333052]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24004089 0.         0.3673426  0.39261651]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51498125 0.48501875]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46539646 0.         0.53460354 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49692032 0.18397972 0.31909997]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37941687 0.         0.         0.62058313]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.60895584 0.         0.39104416]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 43, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18218449 0.13528433 0.10893177 0.10966314 0.46393627]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10322292 0.54745024 0.24340419 0.10592265]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19323311 0.32388431 0.48288258]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33511903 0.14069339 0.44189416 0.08229342]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22809188 0.         0.53785066 0.23405746]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20159102 0.60773229 0.19067669]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16238237 0.32876533 0.24095428 0.26789802]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4168274  0.29631501 0.09744265 0.18941495]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37367356 0.62632644 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59234942 0.         0.13847482 0.26917576]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36517013 0.15330978 0.48152009 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20445627 0.15182263 0.         0.1230693  0.52065179]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22843504 0.56713547 0.20442949]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09654004 0.07397372 0.1220266  0.70745964]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7961263  0.10045995 0.10341374]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3300059 0.2528667 0.4171274 0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24105368 0.         0.         0.14509854 0.61384778]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.24149742 0.75850258 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49354582 0.         0.         0.50645418]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62424522 0.         0.         0.37575478 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.37741631 0.62258369 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52772872 0.         0.47227128]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20723432 0.16572453 0.62704115]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.81052241 0.         0.18947759 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55564929 0.44435071 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09952696 0.62921839 0.11016298 0.16109166]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24908589 0.75091411 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26842476 0.         0.29711017 0.43446508]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39250049 0.2876662  0.31983331]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47463869 0.         0.52536131 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49275583 0.50724417]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.57706514 0.42293486 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18218449 0.13528433 0.10893177 0.10966314 0.46393627]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09654004 0.07397372 0.1220266  0.70745964]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7961263  0.10045995 0.10341374]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09952696 0.62921839 0.11016298 0.16109166]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16238237 0.32876533 0.24095428 0.26789802]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20159102 0.60773229 0.19067669]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10322292 0.54745024 0.24340419 0.10592265]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.16542157 0.13319846 0.13409277 0.5672872 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22843504 0.56713547 0.20442949]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3300059 0.2528667 0.4171274 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52772872 0.         0.47227128]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20723432 0.16572453 0.62704115]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4168274  0.29631501 0.09744265 0.18941495]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19323311 0.32388431 0.48288258]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.61046413 0.27142106 0.1181148 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28579888 0.         0.71420112]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33511903 0.14069339 0.44189416 0.08229342]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.15959969 0.16067126 0.67972905]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21160689 0.66462146 0.12377165]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59234942 0.         0.13847482 0.26917576]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55564929 0.44435071 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56617157 0.43382843 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.49832709 0.50167291 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69678067 0.30321933]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76117917 0.23882083]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11863866 0.75004427 0.13131707 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24191594 0.         0.35897175 0.39911231]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47463869 0.         0.52536131 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88503709 0.         0.11496291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.84300769 0.15699231]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33968998 0.66031002]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40259759 0.         0.59740241 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18218449 0.13528433 0.10893177 0.10966314 0.46393627]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33511903 0.14069339 0.44189416 0.08229342]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19323311 0.32388431 0.48288258]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60045784 0.25209088 0.         0.14745127]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33985603 0.25236612 0.20320675 0.2045711  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09654004 0.07397372 0.1220266  0.70745964]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7961263  0.10045995 0.10341374]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3300059 0.2528667 0.4171274 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22843504 0.56713547 0.20442949]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56617157 0.43382843 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20723432 0.16572453 0.62704115]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4168274  0.29631501 0.09744265 0.18941495]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37367356 0.62632644 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10322292 0.54745024 0.24340419 0.10592265]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59234942 0.         0.13847482 0.26917576]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55564929 0.44435071 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52772872 0.         0.47227128]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.38228953 0.30782187 0.30988861 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09952696 0.62921839 0.11016298 0.16109166]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49275583 0.50724417]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16238237 0.32876533 0.24095428 0.26789802]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33968998 0.66031002]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6309494 0.        0.3690506]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39250049 0.2876662  0.31983331]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20159102 0.60773229 0.19067669]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11184853 0.70711645 0.         0.18103502]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51391183 0.         0.48608817]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22809188 0.         0.53785066 0.23405746]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.55395336 0.44604664 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69678067 0.30321933]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.       0.       0.473525 0.526475]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38188738 0.         0.         0.61811262]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18218449 0.13528433 0.10893177 0.10966314 0.46393627]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33511903 0.14069339 0.44189416 0.08229342]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33985603 0.25236612 0.20320675 0.2045711  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09952696 0.62921839 0.11016298 0.16109166]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20159102 0.60773229 0.19067669]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26842476 0.         0.29711017 0.43446508]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16238237 0.32876533 0.24095428 0.26789802]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51391183 0.         0.48608817]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10322292 0.54745024 0.24340419 0.10592265]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19323311 0.32388431 0.48288258]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21160689 0.66462146 0.12377165]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37367356 0.62632644 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22809188 0.         0.53785066 0.23405746]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24191594 0.         0.35897175 0.39911231]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4168274  0.29631501 0.09744265 0.18941495]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20723432 0.16572453 0.62704115]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22843504 0.56713547 0.20442949]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.24840035 0.         0.75159965]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09654004 0.07397372 0.1220266  0.70745964]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42726136 0.3172705  0.25546815 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08187824 0.13506586 0.78305589]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7961263  0.10045995 0.10341374]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.37741631 0.62258369 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28713362 0.71286638 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50810858 0.16709059 0.32480083]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33968998 0.66031002]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.       0.       0.473525 0.526475]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47463869 0.         0.52536131 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49275583 0.50724417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.55395336 0.44604664 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49354582 0.         0.         0.50645418]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6309494 0.        0.3690506]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18218449 0.13528433 0.10893177 0.10966314 0.46393627]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09952696 0.62921839 0.11016298 0.16109166]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20159102 0.60773229 0.19067669]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26842476 0.         0.29711017 0.43446508]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20462423 0.15194735 0.12234894 0.         0.52107949]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09654004 0.07397372 0.1220266  0.70745964]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7961263  0.10045995 0.10341374]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16238237 0.32876533 0.24095428 0.26789802]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88795283 0.11204717 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3300059 0.2528667 0.4171274 0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20723432 0.16572453 0.62704115]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4168274  0.29631501 0.09744265 0.18941495]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19323311 0.32388431 0.48288258]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59234942 0.         0.13847482 0.26917576]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55564929 0.44435071 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22843504 0.56713547 0.20442949]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44169614 0.         0.55830386 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.19103844 0.15382532 0.         0.65513623]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28713362 0.71286638 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.19015159 0.         0.80984841]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33511903 0.14069339 0.44189416 0.08229342]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.4014596 0.5985404]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10322292 0.54745024 0.24340419 0.10592265]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60045784 0.25209088 0.         0.14745127]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22809188 0.         0.53785066 0.23405746]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6309494 0.        0.3690506]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69678067 0.30321933]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51391183 0.         0.48608817]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33968998 0.66031002]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.40612386 0.59387614]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21392962 0.43312982 0.         0.35294056]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37738733 0.         0.         0.62261267]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
Iteration 44, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1434362  0.11740951 0.10663059 0.10705168 0.52547202]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24096844 0.52805894 0.23097262]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09953485 0.07429405 0.13390426 0.69226684]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79262687 0.09957566 0.10779747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3234453  0.24142361 0.43513109 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16251727 0.         0.12081548 0.12129258 0.59537467]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35684271 0.64315729 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19511433 0.16472876 0.64015691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41516772 0.29582119 0.10032517 0.18868592]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54222058 0.45777942 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51059012 0.         0.48940988]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.14426026 0.14482995 0.71090979]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34815198 0.12542334 0.45784832 0.06857635]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.49901469 0.50098531 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09242865 0.64121524 0.10588477 0.16047134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22573922 0.57934351 0.19491727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25761588 0.         0.2951206  0.44726352]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4801763 0.5198237]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795639 0.35015929 0.22992814 0.26195618]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53663554 0.         0.46336446]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2430694  0.         0.35382231 0.40310829]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36547512 0.         0.         0.63452488]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40722529 0.         0.59277471 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50582227 0.17154519 0.32263254]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17291444 0.37418288 0.45290268]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19241194 0.70238508 0.10520298]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31605791 0.68394209 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34713258 0.65286742]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64651309 0.         0.35348691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10306545 0.55543249 0.22434932 0.11715274]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23183307 0.         0.50464624 0.2635207 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46801515 0.         0.         0.53198485]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1434362  0.11740951 0.10663059 0.10705168 0.52547202]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34815198 0.12542334 0.45784832 0.06857635]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10306545 0.55543249 0.22434932 0.11715274]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17291444 0.37418288 0.45290268]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41516772 0.29582119 0.10032517 0.18868592]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.45241133 0.54758867]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23183307 0.         0.50464624 0.2635207 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37378478 0.13465767 0.49155755 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30227131 0.24742379 0.22470876 0.22559613 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09242865 0.64121524 0.10588477 0.16047134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22573922 0.57934351 0.19491727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25761588 0.         0.2951206  0.44726352]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79262687 0.09957566 0.10779747]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36547512 0.         0.         0.63452488]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795639 0.35015929 0.22992814 0.26195618]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53663554 0.         0.46336446]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2430694  0.         0.35382231 0.40310829]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39032774 0.31950227 0.29016998 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.31478558 0.         0.68521442 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.54988904 0.45011096 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09953485 0.07429405 0.13390426 0.69226684]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19511433 0.16472876 0.64015691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58957713 0.         0.14247115 0.26795172]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21503418 0.78496582 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80538012 0.         0.19461988 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54222058 0.45777942 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24096844 0.52805894 0.23097262]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69570091 0.30429909]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10752318 0.         0.14465097 0.74782585]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88028148 0.         0.11971852]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42638462 0.         0.57361538 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40722529 0.         0.59277471 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1434362  0.11740951 0.10663059 0.10705168 0.52547202]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10306545 0.55543249 0.22434932 0.11715274]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17291444 0.37418288 0.45290268]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34815198 0.12542334 0.45784832 0.06857635]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31605791 0.68394209 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23183307 0.         0.50464624 0.2635207 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64216712 0.23134364 0.         0.12648924]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16055642 0.13142325 0.         0.11982913 0.5881912 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64651309 0.         0.35348691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41516772 0.29582119 0.10032517 0.18868592]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58957713 0.         0.14247115 0.26795172]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.31478558 0.         0.68521442 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22573922 0.57934351 0.19491727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38988099 0.31913658 0.         0.29098244 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24096844 0.52805894 0.23097262]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09953485 0.07429405 0.13390426 0.69226684]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79262687 0.09957566 0.10779747]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09242865 0.64121524 0.10588477 0.16047134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.74825372 0.25174628]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25761588 0.         0.2951206  0.44726352]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5726273 0.        0.        0.4273727 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3234453  0.24142361 0.43513109 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51059012 0.         0.48940988]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19511433 0.16472876 0.64015691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80538012 0.         0.19461988 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54222058 0.45777942 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.39753086 0.60246914]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88028148 0.         0.11971852]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57260242 0.42739758 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795639 0.35015929 0.22992814 0.26195618]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2430694  0.         0.35382231 0.40310829]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40722529 0.         0.59277471 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1434362  0.11740951 0.10663059 0.10705168 0.52547202]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34815198 0.12542334 0.45784832 0.06857635]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30227131 0.24742379 0.22470876 0.22559613 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09242865 0.64121524 0.10588477 0.16047134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22573922 0.57934351 0.19491727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10306545 0.55543249 0.22434932 0.11715274]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17291444 0.37418288 0.45290268]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41516772 0.29582119 0.10032517 0.18868592]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19511433 0.16472876 0.64015691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50582227 0.17154519 0.32263254]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19241194 0.70238508 0.10520298]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.45241133 0.54758867]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64651309 0.         0.35348691]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23183307 0.         0.50464624 0.2635207 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74674722 0.25325278 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.31478558 0.         0.68521442 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.74825372 0.25174628]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25761588 0.         0.2951206  0.44726352]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39032774 0.31950227 0.29016998 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09953485 0.07429405 0.13390426 0.69226684]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79262687 0.09957566 0.10779747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3234453  0.24142361 0.43513109 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52405578 0.47594422 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24096844 0.52805894 0.23097262]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35684271 0.64315729 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51059012 0.         0.48940988]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54222058 0.45777942 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795639 0.35015929 0.22992814 0.26195618]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.39753086 0.60246914]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4801763 0.5198237]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.41584461 0.27305966 0.31109573]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.60363192 0.39636808 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1434362  0.11740951 0.10663059 0.10705168 0.52547202]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09242865 0.64121524 0.10588477 0.16047134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22573922 0.57934351 0.19491727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10306545 0.55543249 0.22434932 0.11715274]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17291444 0.37418288 0.45290268]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41516772 0.29582119 0.10032517 0.18868592]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.45241133 0.54758867]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34815198 0.12542334 0.45784832 0.06857635]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23183307 0.         0.50464624 0.2635207 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.74825372 0.25174628]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25761588 0.         0.2951206  0.44726352]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795639 0.35015929 0.22992814 0.26195618]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.4660736 0.        0.5339264 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79262687 0.09957566 0.10779747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09953485 0.07429405 0.13390426 0.69226684]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4801763 0.5198237]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16063214 0.13148523 0.11941407 0.         0.58846857]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64216712 0.23134364 0.         0.12648924]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39032774 0.31950227 0.29016998 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3234453  0.24142361 0.43513109 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52405578 0.47594422 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24096844 0.52805894 0.23097262]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35684271 0.64315729 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51059012 0.         0.48940988]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46801515 0.         0.         0.53198485]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64651309 0.         0.35348691]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58957713 0.         0.14247115 0.26795172]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19511433 0.16472876 0.64015691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34713258 0.65286742]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21402034 0.47444241 0.31153725 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40722529 0.         0.59277471 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54222058 0.45777942 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
Iteration 45, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14446897 0.10738567 0.11976739 0.09966451 0.52871347]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3944462  0.10449091 0.42603439 0.0750285 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18998387 0.2875176  0.52249853]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.68722967 0.18205083 0.         0.1307195 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654168 0.22785643 0.25412861 0.21147327 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11046353 0.07606802 0.16412522 0.64934323]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18702784 0.17289659 0.64007556]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41444712 0.28955634 0.10022899 0.19576755]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58205913 0.         0.41794087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5153325  0.36004061 0.12462689 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16641905 0.35153663 0.22406791 0.25797641]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21576993 0.6081598  0.17607027]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08407975 0.65664262 0.10870998 0.15056764]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55065798 0.         0.44934202]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09098223 0.56848579 0.20880888 0.1317231 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32857985 0.36646559 0.30495456 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24487534 0.         0.31660883 0.43851583]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25663601 0.         0.34553672 0.39782727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43612154 0.         0.56387846 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7814558  0.0979641  0.12058009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11955808 0.         0.17763778 0.70280414]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23446925 0.4801305  0.28540025]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51963086 0.48036914 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3281127 0.6718873 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.14538372 0.         0.         0.85461628]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44825764 0.55174236]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47274585 0.52725415 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.62538469 0.22970824 0.14490707]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39787076 0.60212924 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.61318434 0.38681566]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42618338 0.         0.57381662 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5887004 0.4112996 0.        0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14446897 0.10738567 0.11976739 0.09966451 0.52871347]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3944462  0.10449091 0.42603439 0.0750285 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654168 0.22785643 0.25412861 0.21147327 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09098223 0.56848579 0.20880888 0.1317231 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21576993 0.6081598  0.17607027]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11499399 0.71851892 0.         0.16648708]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18998387 0.2875176  0.52249853]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.1725543  0.70354506 0.12390063]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39787076 0.60212924 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.40853188 0.         0.         0.59146812]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58205913 0.         0.41794087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41444712 0.28955634 0.10022899 0.19576755]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58336381 0.         0.14107943 0.27555675]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41098464 0.30549024 0.         0.28352512 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11046353 0.07606802 0.16412522 0.64934323]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23446925 0.4801305  0.28540025]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.51864563 0.         0.48135437 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.62718643 0.37281357]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13215321 0.09100408 0.         0.77684271]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7814558  0.0979641  0.12058009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59219758 0.40780242 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08407975 0.65664262 0.10870998 0.15056764]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44825764 0.55174236]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16641905 0.35153663 0.22406791 0.25797641]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80525813 0.         0.19474187 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.42171865 0.26880161 0.30947974]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77548646 0.22451354]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0943349  0.73673283 0.         0.16893227]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46482843 0.53517157]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11351048 0.88648952 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18702784 0.17289659 0.64007556]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.2261239 0.        0.7738761]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14446897 0.10738567 0.11976739 0.09966451 0.52871347]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3944462  0.10449091 0.42603439 0.0750285 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18998387 0.2875176  0.52249853]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.68722967 0.18205083 0.         0.1307195 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654168 0.22785643 0.25412861 0.21147327 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08407975 0.65664262 0.10870998 0.15056764]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16641905 0.35153663 0.22406791 0.25797641]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21576993 0.6081598  0.17607027]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09898346 0.77303698 0.12797956 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55065798 0.         0.44934202]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09098223 0.56848579 0.20880888 0.1317231 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39787076 0.60212924 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41444712 0.28955634 0.10022899 0.19576755]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18702784 0.17289659 0.64007556]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23446925 0.4801305  0.28540025]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.2261239 0.        0.7738761]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49450075 0.17116983 0.33432941]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58205913 0.         0.41794087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74286106 0.25713894 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21084411 0.         0.48389804 0.30525786]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25663601 0.         0.34553672 0.39782727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43612154 0.         0.56387846 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7814558  0.0979641  0.12058009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11046353 0.07606802 0.16412522 0.64934323]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3281127 0.6718873 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13215321 0.09100408 0.         0.77684271]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44825764 0.55174236]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42618338 0.         0.57381662 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38875243 0.28896475 0.32228282 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59219758 0.40780242 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47274585 0.52725415 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.40853188 0.         0.         0.59146812]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14446897 0.10738567 0.11976739 0.09966451 0.52871347]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08407975 0.65664262 0.10870998 0.15056764]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21576993 0.6081598  0.17607027]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24487534 0.         0.31660883 0.43851583]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7814558  0.0979641  0.12058009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11046353 0.07606802 0.16412522 0.64934323]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44825764 0.55174236]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35832383 0.         0.         0.64167617]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16641905 0.35153663 0.22406791 0.25797641]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16046126 0.11927295 0.13302529 0.         0.5872405 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3944462  0.10449091 0.42603439 0.0750285 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41444712 0.28955634 0.10022899 0.19576755]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2242773  0.47375399 0.30196871 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55065798 0.         0.44934202]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09098223 0.56848579 0.20880888 0.1317231 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42618338 0.         0.57381662 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.460614   0.32181114 0.         0.21757486]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18702784 0.17289659 0.64007556]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31501896 0.21693012 0.46805092 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.21267222 0.78732778]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.59662495 0.         0.40337505]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.44047146 0.         0.47574547 0.08378307]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38875243 0.28896475 0.32228282 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40228716 0.         0.59771284 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23446925 0.4801305  0.28540025]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47274585 0.52725415 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.4510156 0.        0.5489844]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11499399 0.71851892 0.         0.16648708]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18998387 0.2875176  0.52249853]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85026131 0.14973869]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39787076 0.60212924 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.40853188 0.         0.         0.59146812]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14446897 0.10738567 0.11976739 0.09966451 0.52871347]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3944462  0.10449091 0.42603439 0.0750285 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18998387 0.2875176  0.52249853]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.68722967 0.18205083 0.         0.1307195 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654168 0.22785643 0.25412861 0.21147327 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11046353 0.07606802 0.16412522 0.64934323]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7814558  0.0979641  0.12058009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31501896 0.21693012 0.46805092 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32857985 0.36646559 0.30495456 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09098223 0.56848579 0.20880888 0.1317231 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21576993 0.6081598  0.17607027]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16641905 0.35153663 0.22406791 0.25797641]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26187904 0.73812096 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08407975 0.65664262 0.10870998 0.15056764]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11499399 0.71851892 0.         0.16648708]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39787076 0.60212924 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41444712 0.28955634 0.10022899 0.19576755]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18702784 0.17289659 0.64007556]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31669508 0.68330492 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23446925 0.4801305  0.28540025]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.51864563 0.         0.48135437 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.62718643 0.37281357]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.21267222 0.78732778]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49450075 0.17116983 0.33432941]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.40853188 0.         0.         0.59146812]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58205913 0.         0.41794087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33861541 0.66138459]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24487534 0.         0.31660883 0.43851583]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44825764 0.55174236]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35832383 0.         0.         0.64167617]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25663601 0.         0.34553672 0.39782727]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39213202 0.         0.         0.60786798]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
Iteration 46, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14429073 0.10685592 0.1227588  0.09915378 0.52694079]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34043228 0.10658058 0.47766018 0.07532697]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3050162  0.22588275 0.25949985 0.2096012  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10645827 0.08143831 0.15617022 0.6559332 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77882664 0.09749481 0.12367855]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0927697  0.63893664 0.11251985 0.15577381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2074006  0.61446663 0.17813276]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25693468 0.         0.31163463 0.43143069]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86296084 0.         0.13703916]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30941163 0.23669332 0.45389505 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17486739 0.15972052 0.66541209]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2493603  0.49144669 0.25919301]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.4053569 0.        0.5946431 0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32501873 0.37338979 0.30159149 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.49033267 0.         0.50966733]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.        0.5531854 0.4468146 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37325335 0.         0.         0.62674665]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10674592 0.50317227 0.24551145 0.14457036]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17244708 0.28538184 0.54217108]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21485499 0.         0.49415811 0.2909869 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5379576 0.        0.4620424]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18443091 0.34998637 0.20750361 0.25807911]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23272145 0.44162519 0.         0.32565336]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34510656 0.65489344 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40621807 0.30471243 0.10423838 0.18483111]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20810623 0.         0.79189377]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51317229 0.17554994 0.31127777]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16159157 0.72420186 0.11420657]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2413136 0.        0.7586864]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58590522 0.         0.41409478]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74510778 0.25489222 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.42474733 0.         0.         0.57525267]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14429073 0.10685592 0.1227588  0.09915378 0.52694079]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0927697  0.63893664 0.11251985 0.15577381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2074006  0.61446663 0.17813276]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25693468 0.         0.31163463 0.43143069]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77882664 0.09749481 0.12367855]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10645827 0.08143831 0.15617022 0.6559332 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44080719 0.55919281]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18443091 0.34998637 0.20750361 0.25807911]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5379576 0.        0.4620424]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28373391 0.         0.31922964 0.39703645]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40621807 0.30471243 0.10423838 0.18483111]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17244708 0.28538184 0.54217108]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10674592 0.50317227 0.24551145 0.14457036]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2413136 0.        0.7586864]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34043228 0.10658058 0.47766018 0.07532697]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58424469 0.         0.14992125 0.26583406]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.44568581 0.55431419]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37325335 0.         0.         0.62674665]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16017243 0.11861727 0.13627053 0.         0.58493977]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38104419 0.         0.53464271 0.08431311]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38590165 0.28578326 0.32831508 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30941163 0.23669332 0.45389505 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2493603  0.49144669 0.25919301]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17486739 0.15972052 0.66541209]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68728302 0.         0.         0.31271698]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.        0.8637817 0.1362183]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52263511 0.47736489 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56657906 0.43342094 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3366063 0.6633937 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46537051 0.53462949 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21485499 0.         0.49415811 0.2909869 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30303388 0.         0.69696612 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14429073 0.10685592 0.1227588  0.09915378 0.52694079]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2493603  0.49144669 0.25919301]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10645827 0.08143831 0.15617022 0.6559332 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77882664 0.09749481 0.12367855]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30941163 0.23669332 0.45389505 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16155369 0.         0.13744568 0.11101655 0.58998407]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10674592 0.50317227 0.24551145 0.14457036]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17244708 0.28538184 0.54217108]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40621807 0.30471243 0.10423838 0.18483111]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17486739 0.15972052 0.66541209]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51317229 0.17554994 0.31127777]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34485027 0.65514973]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34043228 0.10658058 0.47766018 0.07532697]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18729683 0.         0.         0.12870674 0.68399643]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16159157 0.72420186 0.11420657]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21485499 0.         0.49415811 0.2909869 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58590522 0.         0.41409478]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30303388 0.         0.69696612 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2074006  0.61446663 0.17813276]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0927697  0.63893664 0.11251985 0.15577381]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18443091 0.34998637 0.20750361 0.25807911]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36059973 0.63940027]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.42913148 0.254428   0.31644052]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44080719 0.55919281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10988726 0.75683111 0.13328164 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5379576 0.        0.4620424]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5927048 0.        0.        0.4072952 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45189685 0.         0.54810315 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34274154 0.65725846 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.49033267 0.         0.50966733]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52263511 0.47736489 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.57557349 0.         0.42442651]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14429073 0.10685592 0.1227588  0.09915378 0.52694079]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34043228 0.10658058 0.47766018 0.07532697]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17244708 0.28538184 0.54217108]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65174482 0.20404453 0.         0.14421065]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3050162  0.22588275 0.25949985 0.2096012  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0927697  0.63893664 0.11251985 0.15577381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2074006  0.61446663 0.17813276]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18443091 0.34998637 0.20750361 0.25807911]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25235293 0.74764707 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10674592 0.50317227 0.24551145 0.14457036]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3766627 0.6233373 0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21485499 0.         0.49415811 0.2909869 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58590522 0.         0.41409478]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40621807 0.30471243 0.10423838 0.18483111]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58424469 0.         0.14992125 0.26583406]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17486739 0.15972052 0.66541209]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2493603  0.49144669 0.25919301]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38590165 0.28578326 0.32831508 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10645827 0.08143831 0.15617022 0.6559332 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77882664 0.09749481 0.12367855]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28373391 0.         0.31922964 0.39703645]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25693468 0.         0.31163463 0.43143069]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.47056561 0.         0.52943439 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88874538 0.11125462 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30941163 0.23669332 0.45389505 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.65470384 0.34529616]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20810623 0.         0.79189377]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56657906 0.43342094 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46537051 0.53462949 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30303388 0.         0.69696612 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45189685 0.         0.54810315 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36059973 0.63940027]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14429073 0.10685592 0.1227588  0.09915378 0.52694079]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34043228 0.10658058 0.47766018 0.07532697]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17244708 0.28538184 0.54217108]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40621807 0.30471243 0.10423838 0.18483111]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34485027 0.65514973]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65174482 0.20404453 0.         0.14421065]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3050162  0.22588275 0.25949985 0.2096012  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10645827 0.08143831 0.15617022 0.6559332 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77882664 0.09749481 0.12367855]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30941163 0.23669332 0.45389505 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2493603  0.49144669 0.25919301]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56657906 0.43342094 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32501873 0.37338979 0.30159149 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0927697  0.63893664 0.11251985 0.15577381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2074006  0.61446663 0.17813276]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25693468 0.         0.31163463 0.43143069]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44080719 0.55919281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37325335 0.         0.         0.62674665]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18443091 0.34998637 0.20750361 0.25807911]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58424469 0.         0.14992125 0.26583406]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17486739 0.15972052 0.66541209]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36059973 0.63940027]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.42913148 0.254428   0.31644052]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.57557349 0.         0.42442651]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5379576 0.        0.4620424]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46537051 0.53462949 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10674592 0.50317227 0.24551145 0.14457036]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21485499 0.         0.49415811 0.2909869 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.42474733 0.         0.         0.57525267]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58590522 0.         0.41409478]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.49033267 0.         0.50966733]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52263511 0.47736489 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 47, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15063748 0.10297032 0.11278538 0.12607588 0.50753093]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25842297 0.49833371 0.24324332]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10492292 0.07800766 0.15272974 0.66433968]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51512923 0.         0.48487077]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17828472 0.16164573 0.66006955]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12383643 0.0920694  0.         0.78409418]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81184495 0.08542205 0.102733  ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57356687 0.42643313 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19671744 0.80328256]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1679292  0.         0.12573205 0.14054817 0.56579057]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33958487 0.11367074 0.46632211 0.08042227]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38674701 0.         0.28956546 0.32368752 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10214368 0.63808383 0.11621365 0.14355884]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21352661 0.6097886  0.17668479]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11070329 0.48715281 0.27719594 0.12494795]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18320453 0.3114755  0.50531997]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17212014 0.70610453 0.12177533]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40968623 0.30018253 0.10381349 0.18631776]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.       0.       0.852907 0.147093]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37034956 0.62965044 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21586019 0.         0.54050397 0.24363584]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28539189 0.         0.71460811 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.        0.7753455 0.2246545]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28223021 0.         0.32110655 0.39666323]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17109248 0.33289447 0.23512719 0.26088586]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50349658 0.36891862 0.1275848  0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74303339 0.25696661 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.40160629 0.28365913 0.31473458]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.47403428 0.52596572]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46778222 0.         0.53221778 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45399819 0.54600181]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57184663 0.         0.42815337 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15063748 0.10297032 0.11278538 0.12607588 0.50753093]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33958487 0.11367074 0.46632211 0.08042227]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18320453 0.3114755  0.50531997]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11070329 0.48715281 0.27719594 0.12494795]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2660828 0.        0.7339172]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63631055 0.21299504 0.         0.15069441]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30588211 0.20908993 0.22902024 0.25600772 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10214368 0.63808383 0.11621365 0.14355884]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21352661 0.6097886  0.17668479]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28223021 0.         0.32110655 0.39666323]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81184495 0.08542205 0.102733  ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10492292 0.07800766 0.15272974 0.66433968]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45399819 0.54600181]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17109248 0.33289447 0.23512719 0.26088586]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54720752 0.         0.45279248]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21586019 0.         0.54050397 0.24363584]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25646989 0.         0.35245876 0.39107135]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41572093 0.         0.         0.58427907]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41113613 0.28103777 0.3078261  0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46977597 0.         0.         0.53022403]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58565086 0.         0.41434914]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40968623 0.30018253 0.10381349 0.18631776]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17828472 0.16164573 0.66006955]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31258661 0.2324006  0.45501279 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25842297 0.49833371 0.24324332]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19671744 0.80328256]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50851351 0.17586154 0.31562495]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59397809 0.40602191 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34148753 0.65851247 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57356687 0.42643313 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39606727 0.         0.         0.60393273]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74303339 0.25696661 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15063748 0.10297032 0.11278538 0.12607588 0.50753093]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10492292 0.07800766 0.15272974 0.66433968]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81184495 0.08542205 0.102733  ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31258661 0.2324006  0.45501279 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.12123248 0.13278827 0.14843589 0.59754336]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33958487 0.11367074 0.46632211 0.08042227]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18320453 0.3114755  0.50531997]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63631055 0.21299504 0.         0.15069441]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.30123115 0.3299443  0.36882455 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11070329 0.48715281 0.27719594 0.12494795]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58565086 0.         0.41434914]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40968623 0.30018253 0.10381349 0.18631776]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37034956 0.62965044 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12651052 0.55671296 0.31677652 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.44956136 0.         0.55043864 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25842297 0.49833371 0.24324332]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17828472 0.16164573 0.66006955]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58541869 0.         0.14834366 0.26623765]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17109248 0.33289447 0.23512719 0.26088586]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21352661 0.6097886  0.17668479]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25646989 0.         0.35245876 0.39107135]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68738841 0.         0.         0.31261159]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52447411 0.47552589 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33807983 0.66192017 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34148753 0.65851247 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10214368 0.63808383 0.11621365 0.14355884]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.47403428 0.52596572]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11926526 0.74504106 0.13569368 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25934977 0.74065023 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.63734364 0.36265636 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46778222 0.         0.53221778 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45399819 0.54600181]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15063748 0.10297032 0.11278538 0.12607588 0.50753093]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33958487 0.11367074 0.46632211 0.08042227]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18320453 0.3114755  0.50531997]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63631055 0.21299504 0.         0.15069441]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30588211 0.20908993 0.22902024 0.25600772 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11070329 0.48715281 0.27719594 0.12494795]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21352661 0.6097886  0.17668479]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10214368 0.63808383 0.11621365 0.14355884]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81184495 0.08542205 0.102733  ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10492292 0.07800766 0.15272974 0.66433968]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45399819 0.54600181]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17109248 0.33289447 0.23512719 0.26088586]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54720752 0.         0.45279248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25646989 0.         0.35245876 0.39107135]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11557508 0.72198879 0.         0.16243613]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1531581  0.67397631 0.         0.17286559]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37034956 0.62965044 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40968623 0.30018253 0.10381349 0.18631776]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46977597 0.         0.         0.53022403]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58565086 0.         0.41434914]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58541869 0.         0.14834366 0.26623765]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17828472 0.16164573 0.66006955]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35781561 0.64218439]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39674467 0.27120029 0.         0.33205505 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31258661 0.2324006  0.45501279 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25842297 0.49833371 0.24324332]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57356687 0.42643313 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.44956136 0.         0.55043864 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51512923 0.         0.48487077]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41572093 0.         0.         0.58427907]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39606727 0.         0.         0.60393273]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52447411 0.47552589 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15063748 0.10297032 0.11278538 0.12607588 0.50753093]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33958487 0.11367074 0.46632211 0.08042227]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40968623 0.30018253 0.10381349 0.18631776]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38313625 0.         0.52612741 0.09073634]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18320453 0.3114755  0.50531997]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11070329 0.48715281 0.27719594 0.12494795]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21352661 0.6097886  0.17668479]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10214368 0.63808383 0.11621365 0.14355884]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54720752 0.         0.45279248]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1531581  0.67397631 0.         0.17286559]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80852165 0.         0.         0.19147835]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30588211 0.20908993 0.22902024 0.25600772 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18516712 0.81483288 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2660828 0.        0.7339172]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39674467 0.27120029 0.         0.33205505 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28223021 0.         0.32110655 0.39666323]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17109248 0.33289447 0.23512719 0.26088586]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46778222 0.         0.53221778 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81184495 0.08542205 0.102733  ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10492292 0.07800766 0.15272974 0.66433968]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25842297 0.49833371 0.24324332]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17828472 0.16164573 0.66006955]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50349658 0.36891862 0.1275848  0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79783146 0.         0.20216854 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52447411 0.47552589 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34148753 0.65851247 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12383643 0.0920694  0.         0.78409418]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45399819 0.54600181]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23148317 0.45039656 0.31812027 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59397809 0.40602191 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57356687 0.42643313 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.339478 0.660522 0.       0.      ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
Iteration 48, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16505951 0.13086149 0.11811258 0.10514872 0.4808177 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35247749 0.12281287 0.44469226 0.08001739]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12098481 0.4891289  0.27116503 0.11872126]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1989441  0.32207206 0.47898384]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38313494 0.13349477 0.48337028 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41141739 0.29792139 0.1036014  0.18705983]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18959112 0.16066517 0.64974371]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11515242 0.07026265 0.13043366 0.68415127]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79810184 0.084528   0.11737017]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36458092 0.22245664 0.41296244 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31885269 0.47282134 0.20832597]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31792207 0.25205306 0.22749732 0.20252755 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09502332 0.64251382 0.11018239 0.15228046]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4186665 0.5813335]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10678966 0.72207362 0.         0.17113672]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15659304 0.35780606 0.23667209 0.2489288 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1288387 0.8711613 0.        0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20689676 0.62469833 0.16840491]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20849294 0.47639433 0.31511273 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.5061675  0.17601845 0.31781406]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.60188261 0.39811739 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24879507 0.75120493 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39866213 0.31606491 0.28527296 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62105212 0.37894788 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52560287 0.47439713 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23682061 0.         0.53078953 0.23238985]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50472151 0.         0.         0.49527849]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.44216115 0.         0.55783885 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38183864 0.61816136 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69415431 0.30584569]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19825198 0.80174802]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.6142947 0.        0.3857053]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16505951 0.13086149 0.11811258 0.10514872 0.4808177 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09502332 0.64251382 0.11018239 0.15228046]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15659304 0.35780606 0.23667209 0.2489288 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41141739 0.29792139 0.1036014  0.18705983]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18959112 0.16066517 0.64974371]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31885269 0.47282134 0.20832597]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18445468 0.14623825 0.1319913  0.         0.53731576]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69415431 0.30584569]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22588258 0.         0.77411742]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.5061675  0.17601845 0.31781406]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35247749 0.12281287 0.44469226 0.08001739]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21604937 0.         0.15459969 0.         0.62935094]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11515242 0.07026265 0.13043366 0.68415127]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.        0.1972059 0.        0.8027941]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18966579 0.68675953 0.12357468]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1989441  0.32207206 0.47898384]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74197878 0.25802122 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40205941 0.59794059]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6054958 0.        0.3945042]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12098481 0.4891289  0.27116503 0.11872126]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20689676 0.62469833 0.16840491]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.42423892 0.28061435 0.29514673]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11209288 0.75793207 0.12997506 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24879507 0.75120493 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46306372 0.         0.53693628 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16599753 0.67111064 0.         0.16289183]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.60188261 0.39811739 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19829879 0.80170121 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79810184 0.084528   0.11737017]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90423165 0.09576835 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.0794065  0.14740806 0.77318544]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.09313541 0.         0.90686459]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16505951 0.13086149 0.11811258 0.10514872 0.4808177 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35247749 0.12281287 0.44469226 0.08001739]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12098481 0.4891289  0.27116503 0.11872126]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1989441  0.32207206 0.47898384]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38313494 0.13349477 0.48337028 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38183864 0.61816136 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41141739 0.29792139 0.1036014  0.18705983]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23682061 0.         0.53078953 0.23238985]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20689676 0.62469833 0.16840491]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09502332 0.64251382 0.11018239 0.15228046]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15659304 0.35780606 0.23667209 0.2489288 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55128121 0.         0.44871879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24384074 0.         0.36853679 0.38762247]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58599904 0.         0.14756381 0.26643715]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18959112 0.16066517 0.64974371]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11515242 0.07026265 0.13043366 0.68415127]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79810184 0.084528   0.11737017]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36458092 0.22245664 0.41296244 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19825198 0.80174802]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3564335 0.6435665]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.48737985 0.51262015]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11209288 0.75793207 0.12997506 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50472151 0.         0.         0.49527849]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.74160454 0.25839546 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31792207 0.25205306 0.22749732 0.20252755 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46306372 0.         0.53693628 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39866213 0.31606491 0.28527296 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31885269 0.47282134 0.20832597]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.40275755 0.59724245 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58289469 0.         0.41710531 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.46888822 0.         0.53111178 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4186665 0.5813335]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16505951 0.13086149 0.11811258 0.10514872 0.4808177 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09502332 0.64251382 0.11018239 0.15228046]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20689676 0.62469833 0.16840491]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26580978 0.         0.30821441 0.42597581]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79810184 0.084528   0.11737017]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15659304 0.35780606 0.23667209 0.2489288 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38423724 0.         0.         0.61576276]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18445468 0.14623825 0.1319913  0.         0.53731576]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35247749 0.12281287 0.44469226 0.08001739]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1989441  0.32207206 0.47898384]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63474261 0.22116182 0.         0.14409558]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39866213 0.31606491 0.28527296 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12098481 0.4891289  0.27116503 0.11872126]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55128121 0.         0.44871879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20849294 0.47639433 0.31511273 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90423165 0.09576835 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.30441936 0.69558064 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16599753 0.67111064 0.         0.16289183]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38183864 0.61816136 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41141739 0.29792139 0.1036014  0.18705983]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18959112 0.16066517 0.64974371]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.5061675  0.17601845 0.31781406]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50472151 0.         0.         0.49527849]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55778235 0.44221765 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31885269 0.47282134 0.20832597]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54129256 0.45870744 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.40275755 0.59724245 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11515242 0.07026265 0.13043366 0.68415127]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36458092 0.22245664 0.41296244 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62105212 0.37894788 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6054958 0.        0.3945042]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.        0.3564335 0.6435665]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16505951 0.13086149 0.11811258 0.10514872 0.4808177 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35247749 0.12281287 0.44469226 0.08001739]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1989441  0.32207206 0.47898384]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12098481 0.4891289  0.27116503 0.11872126]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63474261 0.22116182 0.         0.14409558]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31792207 0.25205306 0.22749732 0.20252755 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13728325 0.55502179 0.30769497 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29345907 0.         0.70654093]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6054958 0.        0.3945042]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41141739 0.29792139 0.1036014  0.18705983]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18959112 0.16066517 0.64974371]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.5061675  0.17601845 0.31781406]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30851678 0.         0.69148322 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20689676 0.62469833 0.16840491]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09502332 0.64251382 0.11018239 0.15228046]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41154818 0.32628115 0.         0.26217067 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.70997832 0.12175164 0.16827004]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55128121 0.         0.44871879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15659304 0.35780606 0.23667209 0.2489288 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55778235 0.44221765 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11515242 0.07026265 0.13043366 0.68415127]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79810184 0.084528   0.11737017]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.41980185 0.58019815]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24384074 0.         0.36853679 0.38762247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87179273 0.         0.12820727]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36458092 0.22245664 0.41296244 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54129256 0.45870744 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31885269 0.47282134 0.20832597]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.46888822 0.         0.53111178 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.60482852 0.         0.39517148]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38615193 0.         0.         0.61384807]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74197878 0.25802122 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
Iteration 49, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16071179 0.10952857 0.10693346 0.12223936 0.50058682]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35301251 0.11425954 0.45406943 0.07865852]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22235931 0.36691551 0.41072519]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0907183  0.56882643 0.24858363 0.09187164]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22523947 0.60318207 0.17157846]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1569513  0.34623572 0.23044199 0.266371  ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285765 0.09033258 0.10680977]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1182038  0.07159503 0.13770668 0.67249449]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29546781 0.48755441 0.21697778]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18585695 0.16209255 0.6520505 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.37734282 0.62265718 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13708073 0.08302863 0.         0.77989064]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45820992 0.54179008]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20394993 0.44991503 0.         0.34613504]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27188993 0.72811007 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10011085 0.60223509 0.10094921 0.19670485]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12072974 0.75700564 0.         0.12226462]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35123164 0.         0.64876836]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41289507 0.27114926 0.1102385  0.20571717]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64662528 0.20929317 0.         0.14408154]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51983381 0.34137621 0.13878998 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37076077 0.         0.         0.62923923]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60360864 0.39639136 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81778133 0.         0.         0.18221867]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32180126 0.21931453 0.21411822 0.24476598 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49684172 0.         0.         0.50315828]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40947795 0.2790681  0.         0.31145395 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56798423 0.         0.         0.43201577 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62278465 0.37721535 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25168347 0.         0.25379113 0.4945254 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.33728287 0.         0.         0.66271713]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22181084 0.         0.77818916]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16071179 0.10952857 0.10693346 0.12223936 0.50058682]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1182038  0.07159503 0.13770668 0.67249449]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285765 0.09033258 0.10680977]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36092155 0.21860711 0.42047134 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13050174 0.12740971 0.14564646 0.59644209]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35301251 0.11425954 0.45406943 0.07865852]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0907183  0.56882643 0.24858363 0.09187164]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22235931 0.36691551 0.41072519]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21039857 0.         0.57652798 0.21307345]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22523947 0.60318207 0.17157846]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10011085 0.60223509 0.10094921 0.19670485]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32337797 0.31571604 0.36090598 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.66923253 0.1121796  0.21858787]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56761415 0.         0.43238585]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49684172 0.         0.         0.50315828]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38315057 0.12401432 0.49283511 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.50599437 0.49400563 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29546781 0.48755441 0.21697778]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34206615 0.65793385 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18585695 0.16209255 0.6520505 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41289507 0.27114926 0.1102385  0.20571717]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53414922 0.46585078 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57658377 0.         0.42341623]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20104473 0.79895527 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35123164 0.         0.64876836]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.46184122 0.18776627 0.35039251]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.71095428 0.28904572 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1569513  0.34623572 0.23044199 0.266371  ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24007323 0.         0.35248482 0.40744195]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46384051 0.53615949]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.33914944 0.66085056]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45820992 0.54179008]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16071179 0.10952857 0.10693346 0.12223936 0.50058682]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35301251 0.11425954 0.45406943 0.07865852]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22235931 0.36691551 0.41072519]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41289507 0.27114926 0.1102385  0.20571717]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64662528 0.20929317 0.         0.14408154]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32180126 0.21931453 0.21411822 0.24476598 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10011085 0.60223509 0.10094921 0.19670485]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42609476 0.29039282 0.28351242 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0907183  0.56882643 0.24858363 0.09187164]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22523947 0.60318207 0.17157846]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.66923253 0.1121796  0.21858787]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56761415 0.         0.43238585]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1569513  0.34623572 0.23044199 0.266371  ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285765 0.09033258 0.10680977]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20394993 0.44991503 0.         0.34613504]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.33914944 0.66085056]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31191445 0.68808555 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12072974 0.75700564 0.         0.12226462]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47183167 0.52816833]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49684172 0.         0.         0.50315828]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.5922698 0.        0.4077302]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59469944 0.40530056 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1182038  0.07159503 0.13770668 0.67249449]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89886524 0.10113476 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36092155 0.21860711 0.42047134 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29546781 0.48755441 0.21697778]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34206615 0.65793385 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18585695 0.16209255 0.6520505 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69202574 0.30797426]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19909591 0.80090409]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51983381 0.34137621 0.13878998 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.78927275 0.         0.21072725 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16071179 0.10952857 0.10693346 0.12223936 0.50058682]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35301251 0.11425954 0.45406943 0.07865852]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41289507 0.27114926 0.1102385  0.20571717]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22235931 0.36691551 0.41072519]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39855074 0.         0.51264388 0.08880538]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37734398 0.62265602 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0907183  0.56882643 0.24858363 0.09187164]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32180126 0.21931453 0.21411822 0.24476598 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10011085 0.60223509 0.10094921 0.19670485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285765 0.09033258 0.10680977]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1569513  0.34623572 0.23044199 0.266371  ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22523947 0.60318207 0.17157846]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11135172 0.66985658 0.         0.2187917 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56761415 0.         0.43238585]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24007323 0.         0.35248482 0.40744195]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56650154 0.         0.15124976 0.2822487 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18585695 0.16209255 0.6520505 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34890496 0.65109504]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46384051 0.53615949]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.33728287 0.         0.         0.66271713]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42609476 0.29039282 0.28351242 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.62557779 0.27338461 0.1010376 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81778133 0.         0.         0.18221867]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59469944 0.40530056 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29546781 0.48755441 0.21697778]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1182038  0.07159503 0.13770668 0.67249449]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89886524 0.10113476 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36092155 0.21860711 0.42047134 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53414922 0.46585078 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.46189511 0.         0.53810489 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57658377 0.         0.42341623]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.73015063 0.26984937]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16071179 0.10952857 0.10693346 0.12223936 0.50058682]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10011085 0.60223509 0.10094921 0.19670485]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1569513  0.34623572 0.23044199 0.266371  ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22523947 0.60318207 0.17157846]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0907183  0.56882643 0.24858363 0.09187164]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22235931 0.36691551 0.41072519]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21039857 0.         0.57652798 0.21307345]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77854001 0.22145999]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12462524 0.74970587 0.12566888 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24007323 0.         0.35248482 0.40744195]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285765 0.09033258 0.10680977]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1182038  0.07159503 0.13770668 0.67249449]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45820992 0.54179008]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49791517 0.         0.50208483 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37076077 0.         0.         0.62923923]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41289507 0.27114926 0.1102385  0.20571717]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35301251 0.11425954 0.45406943 0.07865852]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35123164 0.         0.64876836]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51983381 0.34137621 0.13878998 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18309296 0.12478182 0.12182531 0.         0.57029991]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64662528 0.20929317 0.         0.14408154]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49684172 0.         0.         0.50315828]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75547534 0.24452466 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42609476 0.29039282 0.28351242 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59469944 0.40530056 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29546781 0.48755441 0.21697778]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36092155 0.21860711 0.42047134 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18585695 0.16209255 0.6520505 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57658377 0.         0.42341623]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22181084 0.         0.77818916]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60360864 0.39639136 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.46189511 0.         0.53810489 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
Iteration 50, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16876652 0.1209926  0.09016913 0.09758599 0.52248576]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1037728  0.59657034 0.1150839  0.18457295]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21569649 0.61638139 0.16792213]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25722651 0.         0.28526386 0.45750963]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82307967 0.07806354 0.0988568 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35989017 0.         0.         0.64010983]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18701673 0.1340766  0.09991991 0.         0.57898675]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33532838 0.11512631 0.46909112 0.08045419]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19312149 0.34960485 0.45727366]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09440083 0.55814766 0.2426496  0.10480192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56226805 0.         0.43773195]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12464617 0.73697413 0.         0.13837969]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29692947 0.         0.70307053]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63161192 0.21684759 0.         0.15154049]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44420629 0.31846172 0.23733199 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47389321 0.         0.         0.52610679]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58243729 0.41756271 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09048469 0.05450132 0.11670618 0.73830781]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89277266 0.         0.10722734]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34576762 0.208265   0.44596738 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2824572  0.49713238 0.22041042]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62409253 0.37590747 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17345655 0.15365107 0.67289238]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39738273 0.27181953 0.12524335 0.20555439]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53027365 0.46972635 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56169295 0.         0.43830705]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58863899 0.         0.41136101]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.45106496 0.20783232 0.34110272]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37861004 0.62138996]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16892356 0.33304579 0.23181094 0.26621971]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25327609 0.         0.3475665  0.39915741]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42153485 0.         0.57846515 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16876652 0.1209926  0.09016913 0.09758599 0.52248576]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33532838 0.11512631 0.46909112 0.08045419]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19312149 0.34960485 0.45727366]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39738273 0.27181953 0.12524335 0.20555439]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17345655 0.15365107 0.67289238]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.45106496 0.20783232 0.34110272]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63161192 0.21684759 0.         0.15154049]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35342719 0.25338009 0.18883024 0.20436247 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09440083 0.55814766 0.2426496  0.10480192]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43570065 0.31236383 0.         0.25193552 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1037728  0.59657034 0.1150839  0.18457295]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21569649 0.61638139 0.16792213]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25722651 0.         0.28526386 0.45750963]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82307967 0.07806354 0.0988568 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09048469 0.05450132 0.11670618 0.73830781]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58243729 0.41756271 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2824572  0.49713238 0.22041042]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53027365 0.46972635 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36231525 0.63768475 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.05992348 0.1283169  0.81175962]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44123553 0.55876447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35989017 0.         0.         0.64010983]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16892356 0.33304579 0.23181094 0.26621971]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.68457554 0.31542446 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43328066 0.56671934]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58863899 0.         0.41136101]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.40074026 0.27892854 0.3203312 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56226805 0.         0.43773195]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46545517 0.53454483]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.        0.3183349 0.6816651 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.61632969 0.2679437  0.1157266 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69836966 0.30163034]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16876652 0.1209926  0.09016913 0.09758599 0.52248576]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33532838 0.11512631 0.46909112 0.08045419]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19312149 0.34960485 0.45727366]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63161192 0.21684759 0.         0.15154049]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39738273 0.27181953 0.12524335 0.20555439]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35583585 0.64416415 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09440083 0.55814766 0.2426496  0.10480192]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80649936 0.         0.         0.19350064]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35342719 0.25338009 0.18883024 0.20436247 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2824572  0.49713238 0.22041042]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09048469 0.05450132 0.11670618 0.73830781]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17345655 0.15365107 0.67289238]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.54572011 0.         0.17199493 0.28228496]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53027365 0.46972635 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09570049 0.         0.12343347 0.78086604]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82307967 0.07806354 0.0988568 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.4367214 0.        0.5632786 0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.47336964 0.         0.25291348 0.27371688 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56169295 0.         0.43830705]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.48024857 0.51975143 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1037728  0.59657034 0.1150839  0.18457295]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44123553 0.55876447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11726852 0.67415469 0.         0.20857678]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10545245 0.62349068 0.27105688 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37861004 0.62138996]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28007925 0.         0.71992075 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.76371435 0.         0.23628565]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21569649 0.61638139 0.16792213]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16892356 0.33304579 0.23181094 0.26621971]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56226805 0.         0.43773195]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25327609 0.         0.3475665  0.39915741]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42153485 0.         0.57846515 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16876652 0.1209926  0.09016913 0.09758599 0.52248576]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09048469 0.05450132 0.11670618 0.73830781]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82307967 0.07806354 0.0988568 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34576762 0.208265   0.44596738 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2824572  0.49713238 0.22041042]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62409253 0.37590747 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17345655 0.15365107 0.67289238]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39738273 0.27181953 0.12524335 0.20555439]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19312149 0.34960485 0.45727366]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33532838 0.11512631 0.46909112 0.08045419]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35583585 0.64416415 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.54572011 0.         0.17199493 0.28228496]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53027365 0.46972635 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.1455579  0.1084763  0.11739902 0.62856678]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63161192 0.21684759 0.         0.15154049]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.39188176 0.29204792 0.31607032 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1037728  0.59657034 0.1150839  0.18457295]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21569649 0.61638139 0.16792213]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25722651 0.         0.28526386 0.45750963]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.57298546 0.42701454 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09440083 0.55814766 0.2426496  0.10480192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56226805 0.         0.43773195]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12464617 0.73697413 0.         0.13837969]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47389321 0.         0.         0.52610679]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56169295 0.         0.43830705]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.38405229 0.61594771]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44123553 0.55876447]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16892356 0.33304579 0.23181094 0.26621971]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25327609 0.         0.3475665  0.39915741]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37861004 0.62138996]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58863899 0.         0.41136101]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46545517 0.53454483]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16876652 0.1209926  0.09016913 0.09758599 0.52248576]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1037728  0.59657034 0.1150839  0.18457295]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16892356 0.33304579 0.23181094 0.26621971]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21569649 0.61638139 0.16792213]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09440083 0.55814766 0.2426496  0.10480192]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19312149 0.34960485 0.45727366]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33532838 0.11512631 0.46909112 0.08045419]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35583585 0.64416415 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39738273 0.27181953 0.12524335 0.20555439]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17345655 0.15365107 0.67289238]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.45106496 0.20783232 0.34110272]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25327609 0.         0.3475665  0.39915741]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82307967 0.07806354 0.0988568 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09048469 0.05450132 0.11670618 0.73830781]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18701673 0.1340766  0.09991991 0.         0.57898675]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63161192 0.21684759 0.         0.15154049]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21364791 0.         0.54916444 0.23718765]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44420629 0.31846172 0.23733199 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69836966 0.30163034]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.        0.7858965 0.2141035]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12726191 0.7316048  0.14113329 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58243729 0.41756271 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.05992348 0.1283169  0.81175962]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44123553 0.55876447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.83828678 0.16171322 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38820216 0.         0.         0.61179784]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.56940591 0.         0.43059409]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.744422 0.255578 0.       0.      ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2824572  0.49713238 0.22041042]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.        0.3183349 0.6816651 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56169295 0.         0.43830705]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53027365 0.46972635 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 51, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16078323 0.1085986  0.11080074 0.1079314  0.51188603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32515701 0.1130305  0.48441685 0.07739564]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20070706 0.35327695 0.44601599]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63065872 0.21922845 0.         0.15011283]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07907137 0.60826978 0.19598717 0.11667168]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36229757 0.63770243 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2018516  0.         0.50031159 0.29783681]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.74204994 0.25795006 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3293969  0.22248615 0.22699768 0.22111927 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2756205  0.50081019 0.22356931]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42365406 0.         0.29195323 0.28439271 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09399304 0.05819561 0.1206472  0.72716415]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69136438 0.30863562]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10688888 0.06618005 0.         0.82693107]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50655901 0.49344099 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08932933 0.60970506 0.13327553 0.16769008]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21007977 0.58207573 0.2078445 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22887647 0.         0.34147388 0.42964965]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1699714  0.33409024 0.22327857 0.27265979]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50267426 0.         0.49732574]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2552469  0.         0.33529854 0.40945456]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40129102 0.         0.59870898 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81115604 0.09303068 0.09581328]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.07410057 0.         0.92589943]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49263254 0.50736746]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43222228 0.         0.56777772 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28747107 0.         0.71252893 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17740096 0.15836141 0.66423763]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3956043  0.31426011 0.09885922 0.19127637]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52835273 0.47164727 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51995755 0.16356705 0.3164754 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.76070056 0.23929944 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16078323 0.1085986  0.11080074 0.1079314  0.51188603]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2756205  0.50081019 0.22356931]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1803713  0.         0.12429949 0.12108059 0.57424862]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07907137 0.60826978 0.19598717 0.11667168]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20070706 0.35327695 0.44601599]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3956043  0.31426011 0.09885922 0.19127637]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17740096 0.15836141 0.66423763]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51995755 0.16356705 0.3164754 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32515701 0.1130305  0.48441685 0.07739564]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.44198683 0.55801317]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2018516  0.         0.50031159 0.29783681]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20597373 0.         0.         0.13826712 0.65575915]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09399304 0.05819561 0.1206472  0.72716415]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81115604 0.09303068 0.09581328]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34450399 0.21329898 0.44219703 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52835273 0.47164727 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43790968 0.         0.56209032 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69136438 0.30863562]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.         0.17413419 0.82586581]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63065872 0.21922845 0.         0.15011283]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.62684031 0.37315969]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21007977 0.58207573 0.2078445 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08932933 0.60970506 0.13327553 0.16769008]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50267426 0.         0.49732574]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1699714  0.33409024 0.22327857 0.27265979]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.74204994 0.25795006 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22887647 0.         0.34147388 0.42964965]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49263254 0.50736746]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.34755868 0.         0.         0.65244132]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2552469  0.         0.33529854 0.40945456]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.76070056 0.23929944 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43222228 0.         0.56777772 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16078323 0.1085986  0.11080074 0.1079314  0.51188603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32515701 0.1130305  0.48441685 0.07739564]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3293969  0.22248615 0.22699768 0.22111927 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09399304 0.05819561 0.1206472  0.72716415]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81115604 0.09303068 0.09581328]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34450399 0.21329898 0.44219703 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17740096 0.15836141 0.66423763]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3956043  0.31426011 0.09885922 0.19127637]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16749154 0.71782156 0.11468689]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20070706 0.35327695 0.44601599]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07907137 0.60826978 0.19598717 0.11667168]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59356607 0.         0.40643393]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.48917119 0.38858776 0.12224105 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52835273 0.47164727 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43790968 0.         0.56209032 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2756205  0.50081019 0.22356931]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35498403 0.64501597 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.33177024 0.33849781 0.32973195 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08932933 0.60970506 0.13327553 0.16769008]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21007977 0.58207573 0.2078445 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22887647 0.         0.34147388 0.42964965]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1699714  0.33409024 0.22327857 0.27265979]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49263254 0.50736746]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40129102 0.         0.59870898 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21883187 0.43012878 0.         0.35103936]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.49498144 0.50501856 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08951527 0.68861121 0.22187353 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31034469 0.         0.68965531]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28747107 0.         0.71252893 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50267426 0.         0.49732574]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3372036 0.6627964 0.        0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.76070056 0.23929944 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16078323 0.1085986  0.11080074 0.1079314  0.51188603]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2756205  0.50081019 0.22356931]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1803713  0.         0.12429949 0.12108059 0.57424862]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32515701 0.1130305  0.48441685 0.07739564]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20070706 0.35327695 0.44601599]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63065872 0.21922845 0.         0.15011283]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42365406 0.         0.29195323 0.28439271 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07907137 0.60826978 0.19598717 0.11667168]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36229757 0.63770243 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2018516  0.         0.50031159 0.29783681]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21007977 0.58207573 0.2078445 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08932933 0.60970506 0.13327553 0.16769008]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50267426 0.         0.49732574]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1699714  0.33409024 0.22327857 0.27265979]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81115604 0.09303068 0.09581328]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09399304 0.05819561 0.1206472  0.72716415]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49263254 0.50736746]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21883187 0.43012878 0.         0.35103936]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3956043  0.31426011 0.09885922 0.19127637]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17740096 0.15836141 0.66423763]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51995755 0.16356705 0.3164754 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34073456 0.65926544]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.55062253 0.         0.44937747]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22887647 0.         0.34147388 0.42964965]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.34755868 0.         0.         0.65244132]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.40395494 0.         0.         0.59604506]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59356607 0.         0.40643393]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59834192 0.         0.         0.40165808 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34450399 0.21329898 0.44219703 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.32540089 0.67459911 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69136438 0.30863562]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52835273 0.47164727 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16078323 0.1085986  0.11080074 0.1079314  0.51188603]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08932933 0.60970506 0.13327553 0.16769008]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21007977 0.58207573 0.2078445 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07907137 0.60826978 0.19598717 0.11667168]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20070706 0.35327695 0.44601599]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32515701 0.1130305  0.48441685 0.07739564]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36229757 0.63770243 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2018516  0.         0.50031159 0.29783681]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.73687913 0.26312087]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1699714  0.33409024 0.22327857 0.27265979]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3956043  0.31426011 0.09885922 0.19127637]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63065872 0.21922845 0.         0.15011283]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1802364  0.12173795 0.12420652 0.         0.57381913]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09399304 0.05819561 0.1206472  0.72716415]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81115604 0.09303068 0.09581328]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34450399 0.21329898 0.44219703 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14850372 0.15151505 0.         0.69998123]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2756205  0.50081019 0.22356931]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17740096 0.15836141 0.66423763]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.48917119 0.38858776 0.12224105 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52835273 0.47164727 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35498403 0.64501597 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.32540089 0.67459911 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.17793977 0.         0.82206023]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59356607 0.         0.40643393]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.40395494 0.         0.         0.59604506]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.76070056 0.23929944 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.40250449 0.26900106 0.32849445]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49263254 0.50736746]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22887647 0.         0.34147388 0.42964965]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.55062253 0.         0.44937747]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.34755868 0.         0.         0.65244132]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
Iteration 52, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17462399 0.1244038  0.10933656 0.11687999 0.47475566]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33266613 0.11800837 0.47247829 0.07684721]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39012045 0.32028199 0.10621808 0.18337948]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18012575 0.32628681 0.22478144 0.26880599]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179149 0.60481068 0.14404642 0.15935141]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21656431 0.58909515 0.19434053]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2322722  0.         0.36449977 0.40322803]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81003045 0.08317495 0.1067946 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36549507 0.         0.         0.63450493]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24634468 0.44623836 0.30741696 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43648282 0.35834467 0.         0.2051725 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19929167 0.34987779 0.45083054]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68024499 0.         0.         0.31975501]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37717607 0.         0.53569475 0.08712918]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33246239 0.23684939 0.20816323 0.22252498 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42761811 0.30463923 0.26774267 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23527591 0.47863797 0.28608612]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09923017 0.06194014 0.1354479  0.70338179]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61495863 0.         0.38504137 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.06876356 0.15036904 0.7808674 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88351693 0.         0.11648307]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31379886 0.68620114 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1789761  0.15985357 0.66117033]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5282185 0.4717815 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.45127166 0.         0.54872834]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08466513 0.60244358 0.20552089 0.1073704 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43696035 0.56303965]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.86010624 0.13989376]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2129638  0.         0.51696031 0.27007588]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52704249 0.         0.47295751]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.59209873 0.40790127 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44088262 0.         0.         0.55911738]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17462399 0.1244038  0.10933656 0.11687999 0.47475566]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179149 0.60481068 0.14404642 0.15935141]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21656431 0.58909515 0.19434053]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2322722  0.         0.36449977 0.40322803]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81003045 0.08317495 0.1067946 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09923017 0.06194014 0.1354479  0.70338179]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.43783305 0.56216695]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18012575 0.32628681 0.22478144 0.26880599]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52704249 0.         0.47295751]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08466513 0.60244358 0.20552089 0.1073704 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19929167 0.34987779 0.45083054]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2129638  0.         0.51696031 0.27007588]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19773529 0.14086851 0.12380714 0.         0.53758907]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33266613 0.11800837 0.47247829 0.07684721]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654493 0.         0.69345507]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63062074 0.22370334 0.         0.14567592]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42761811 0.30463923 0.26774267 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33453837 0.2088211  0.45664053 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53223072 0.46776928 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.65684439 0.34315561]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26736266 0.         0.3336456  0.39899173]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39012045 0.32028199 0.10621808 0.18337948]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1789761  0.15985357 0.66117033]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.52515614 0.17416239 0.30068146]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.45540349 0.54459651]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36549507 0.         0.         0.63450493]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23527591 0.47863797 0.28608612]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5282185 0.4717815 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31379886 0.68620114 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32955783 0.67044217 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.63590728 0.         0.36409272]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60561965 0.         0.39438035]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17462399 0.1244038  0.10933656 0.11687999 0.47475566]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33266613 0.11800837 0.47247829 0.07684721]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19929167 0.34987779 0.45083054]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08466513 0.60244358 0.20552089 0.1073704 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654493 0.         0.69345507]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63062074 0.22370334 0.         0.14567592]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33246239 0.23684939 0.20816323 0.22252498 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09923017 0.06194014 0.1354479  0.70338179]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81003045 0.08317495 0.1067946 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33453837 0.2088211  0.45664053 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35481055 0.31183746 0.33335198 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23527591 0.47863797 0.28608612]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31379886 0.68620114 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.45127166 0.         0.54872834]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1789761  0.15985357 0.66117033]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.48332698 0.51667302 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179149 0.60481068 0.14404642 0.15935141]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21656431 0.58909515 0.19434053]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2322722  0.         0.36449977 0.40322803]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2129638  0.         0.51696031 0.27007588]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60561965 0.         0.39438035]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39012045 0.32028199 0.10621808 0.18337948]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21302965 0.         0.78697035]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.52515614 0.17416239 0.30068146]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36677824 0.63322176]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29176157 0.         0.70823843 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52704249 0.         0.47295751]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47477735 0.52522265]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.43783305 0.56216695]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18012575 0.32628681 0.22478144 0.26880599]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39797178 0.27416575 0.32786247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54829568 0.         0.45170432]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17462399 0.1244038  0.10933656 0.11687999 0.47475566]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33266613 0.11800837 0.47247829 0.07684721]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33246239 0.23684939 0.20816323 0.22252498 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179149 0.60481068 0.14404642 0.15935141]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21656431 0.58909515 0.19434053]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2322722  0.         0.36449977 0.40322803]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42761811 0.30463923 0.26774267 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23527591 0.47863797 0.28608612]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1789761  0.15985357 0.66117033]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09923017 0.06194014 0.1354479  0.70338179]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19470027 0.80529973]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39012045 0.32028199 0.10621808 0.18337948]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19929167 0.34987779 0.45083054]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17683557 0.70800886 0.11515557]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36289649 0.63710351 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08466513 0.60244358 0.20552089 0.1073704 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57394456 0.         0.15626786 0.26978758]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18012575 0.32628681 0.22478144 0.26880599]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68024499 0.         0.         0.31975501]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32955783 0.67044217 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61495863 0.         0.38504137 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10578235 0.         0.14439153 0.74982613]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81003045 0.08317495 0.1067946 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42283531 0.         0.57716469 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2129638  0.         0.51696031 0.27007588]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60561965 0.         0.39438035]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29176157 0.         0.70823843 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52704249 0.         0.47295751]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39797178 0.27416575 0.32786247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.43783305 0.56216695]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54829568 0.         0.45170432]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47477735 0.52522265]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17462399 0.1244038  0.10933656 0.11687999 0.47475566]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33266613 0.11800837 0.47247829 0.07684721]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19929167 0.34987779 0.45083054]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08466513 0.60244358 0.20552089 0.1073704 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33246239 0.23684939 0.20816323 0.22252498 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179149 0.60481068 0.14404642 0.15935141]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81003045 0.08317495 0.1067946 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09923017 0.06194014 0.1354479  0.70338179]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.43783305 0.56216695]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10723887 0.70659285 0.         0.18616828]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42761811 0.30463923 0.26774267 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.65816741 0.22453082 0.11730177]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63062074 0.22370334 0.         0.14567592]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58397245 0.41602755 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33453837 0.2088211  0.45664053 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23527591 0.47863797 0.28608612]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.74563128 0.25436872 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654493 0.         0.69345507]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39012045 0.32028199 0.10621808 0.18337948]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60561965 0.         0.39438035]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57394456 0.         0.15626786 0.26978758]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1789761  0.15985357 0.66117033]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36677824 0.63322176]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18012575 0.32628681 0.22478144 0.26880599]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21656431 0.58909515 0.19434053]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75193811 0.24806189]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26736266 0.         0.3336456  0.39899173]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.7914691 0.        0.2085309]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.44485688 0.         0.55514312 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31379886 0.68620114 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.62589629 0.37410371]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5282185 0.4717815 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 53, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1567909  0.10528884 0.112937   0.12971045 0.49527281]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36416915 0.10385883 0.45674819 0.07522383]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31064484 0.20860545 0.2237585  0.25699121 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10900306 0.07234664 0.13898844 0.67966186]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.30260954 0.32459103 0.37279943 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24948802 0.49036802 0.26014396]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.0811974  0.15599205 0.76281054]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81535117 0.08711285 0.09753598]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16265801 0.31005344 0.2357057  0.29158284]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20603228 0.55474739 0.23922033]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08883255 0.53099163 0.24638681 0.13378901]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21904247 0.33851034 0.44244718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16334348 0.71834858 0.11830794]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39286408 0.60713592 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18940505 0.         0.52533564 0.28525932]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.46543658 0.53456342 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.07989297 0.65144216 0.12478214 0.14388274]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.        0.6987027 0.3012973]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22921008 0.         0.35799549 0.41279443]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.64808649 0.35191351]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23575451 0.         0.34162893 0.42261656]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90347222 0.09652778 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34233142 0.65766858 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17028484 0.15260497 0.67711018]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38666054 0.29822406 0.12366406 0.19145133]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57994909 0.         0.42005091]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47821555 0.36883873 0.15294573 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52737756 0.47262244 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.48954546 0.         0.51045454]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.46445274 0.53554726]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35808759 0.         0.         0.64191241]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.70687948 0.29312052 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1567909  0.10528884 0.112937   0.12971045 0.49527281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.07989297 0.65144216 0.12478214 0.14388274]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20603228 0.55474739 0.23922033]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22921008 0.         0.35799549 0.41279443]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81535117 0.08711285 0.09753598]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35702254 0.         0.         0.64297746]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16265801 0.31005344 0.2357057  0.29158284]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.46273121 0.         0.53726879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23575451 0.         0.34162893 0.42261656]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38666054 0.29822406 0.12366406 0.19145133]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17028484 0.15260497 0.67711018]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48623003 0.20162418 0.31214579]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21904247 0.33851034 0.44244718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36416915 0.10385883 0.45674819 0.07522383]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.39244057 0.60755943]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40637476 0.         0.50968329 0.08394195]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18015946 0.12098139 0.12976945 0.         0.56908969]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85859438 0.14140562]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39286408 0.60713592 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.44701465 0.55298535]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41809039 0.28075771 0.30115189 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10900306 0.07234664 0.13898844 0.67966186]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89315659 0.         0.10684341]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.340275   0.22584459 0.4338804  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.4824765 0.5175235 0.        0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24948802 0.49036802 0.26014396]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08883255 0.53099163 0.24638681 0.13378901]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18940505 0.         0.52533564 0.28525932]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.39902942 0.         0.         0.60097058]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.65337801 0.34662199]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34233142 0.65766858 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52737756 0.47262244 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1567909  0.10528884 0.112937   0.12971045 0.49527281]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10900306 0.07234664 0.13898844 0.67966186]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81535117 0.08711285 0.09753598]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.340275   0.22584459 0.4338804  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.12486682 0.13393712 0.15382952 0.58736654]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36416915 0.10385883 0.45674819 0.07522383]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.30260954 0.32459103 0.37279943 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08883255 0.53099163 0.24638681 0.13378901]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21904247 0.33851034 0.44244718]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18940505 0.         0.52533564 0.28525932]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20603228 0.55474739 0.23922033]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.07989297 0.65144216 0.12478214 0.14388274]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4717758 0.5282242]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09128352 0.74432    0.         0.16439648]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.46273121 0.         0.53726879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16265801 0.31005344 0.2357057  0.29158284]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.39902942 0.         0.         0.60097058]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16334348 0.71834858 0.11830794]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38666054 0.29822406 0.12366406 0.19145133]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23575451 0.         0.34162893 0.42261656]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35702254 0.         0.         0.64297746]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.44803897 0.         0.55196103 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24948802 0.49036802 0.26014396]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17028484 0.15260497 0.67711018]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44122411 0.34030792 0.         0.21846797]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33113514 0.         0.66886486]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.66883342 0.         0.         0.33116658]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52737756 0.47262244 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33721157 0.66278843 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34233142 0.65766858 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40831533 0.         0.59168467 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85859438 0.14140562]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1567909  0.10528884 0.112937   0.12971045 0.49527281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.07989297 0.65144216 0.12478214 0.14388274]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81535117 0.08711285 0.09753598]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10900306 0.07234664 0.13898844 0.67966186]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4717758 0.5282242]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09128352 0.74432    0.         0.16439648]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16265801 0.31005344 0.2357057  0.29158284]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20603228 0.55474739 0.23922033]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10924263 0.89075737 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.46273121 0.         0.53726879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23575451 0.         0.34162893 0.42261656]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35808759 0.         0.         0.64191241]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38666054 0.29822406 0.12366406 0.19145133]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17028484 0.15260497 0.67711018]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48623003 0.20162418 0.31214579]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36416915 0.10385883 0.45674819 0.07522383]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21904247 0.33851034 0.44244718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67035055 0.1911799  0.         0.13846955]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18015946 0.12098139 0.12976945 0.         0.56908969]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57994909 0.         0.42005091]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.70687948 0.29312052 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41809039 0.28075771 0.30115189 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08883255 0.53099163 0.24638681 0.13378901]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39286408 0.60713592 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18940505 0.         0.52533564 0.28525932]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.39902942 0.         0.         0.60097058]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59825646 0.40174354 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.340275   0.22584459 0.4338804  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24948802 0.49036802 0.26014396]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52737756 0.47262244 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33721157 0.66278843 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34233142 0.65766858 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1567909  0.10528884 0.112937   0.12971045 0.49527281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.07989297 0.65144216 0.12478214 0.14388274]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20603228 0.55474739 0.23922033]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16265801 0.31005344 0.2357057  0.29158284]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81535117 0.08711285 0.09753598]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10900306 0.07234664 0.13898844 0.67966186]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24948802 0.49036802 0.26014396]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12659884 0.08402516 0.         0.789376  ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4717758 0.5282242]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21282118 0.40567285 0.         0.38150597]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22921008 0.         0.35799549 0.41279443]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35702254 0.         0.         0.64297746]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34409577 0.65590423 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27081728 0.72918272 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18015946 0.12098139 0.12976945 0.         0.56908969]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36416915 0.10385883 0.45674819 0.07522383]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41809039 0.28075771 0.30115189 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60106558 0.39893442 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.4824765 0.5175235 0.        0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08883255 0.53099163 0.24638681 0.13378901]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21904247 0.33851034 0.44244718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16334348 0.71834858 0.11830794]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39286408 0.60713592 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18940505 0.         0.52533564 0.28525932]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.39902942 0.         0.         0.60097058]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.48954546 0.         0.51045454]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17028484 0.15260497 0.67711018]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57994909 0.         0.42005091]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38666054 0.29822406 0.12366406 0.19145133]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55097435 0.         0.17621588 0.27280977]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20095096 0.         0.79904904]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.39244057 0.60755943]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
Iteration 54, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13265378 0.10281528 0.10725174 0.11559697 0.54168223]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0801986  0.62334872 0.12917776 0.16727492]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78607436 0.10546749 0.10845815]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10054241 0.06929762 0.13562883 0.69453114]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49301006 0.50698994]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17812263 0.35430924 0.21211335 0.25545477]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09209526 0.71581626 0.         0.19208848]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23611016 0.53902172 0.22486812]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07853873 0.58196016 0.23859083 0.10091028]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35719725 0.11179887 0.46924488 0.061759  ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14999245 0.11625388 0.12127021 0.         0.61248346]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17392407 0.72999825 0.09607768]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20013301 0.33107969 0.4687873 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42545391 0.29016106 0.11332492 0.17106011]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41391843 0.58608157]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64415904 0.         0.35584096]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59936683 0.         0.15964878 0.24098439]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19865464 0.16443078 0.63691458]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.39849116 0.60150884]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23923682 0.47587336 0.28488982 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0873536  0.64727707 0.26536933 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24765501 0.         0.75234499 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.70562755 0.29437245]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.32406943 0.         0.         0.67593057]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.62552103 0.37447897 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38706077 0.2999972  0.31294203 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24754333 0.47731004 0.27514663]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32914128 0.22685658 0.44400214 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.47359496 0.         0.52640504]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55294175 0.         0.44705825 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.591983 0.408017 0.       0.      ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54712922 0.45287078 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13265378 0.10281528 0.10725174 0.11559697 0.54168223]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0801986  0.62334872 0.12917776 0.16727492]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14999245 0.11625388 0.12127021 0.         0.61248346]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07853873 0.58196016 0.23859083 0.10091028]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35719725 0.11179887 0.46924488 0.061759  ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20013301 0.33107969 0.4687873 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42545391 0.29016106 0.11332492 0.17106011]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19865464 0.16443078 0.63691458]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10054241 0.06929762 0.13562883 0.69453114]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78607436 0.10546749 0.10845815]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32914128 0.22685658 0.44400214 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.        0.2051934 0.7948066]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50502661 0.19724252 0.29773087]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17812263 0.35430924 0.21211335 0.25545477]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.67769925 0.14044093 0.18185982]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23611016 0.53902172 0.22486812]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23923682 0.47587336 0.28488982 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.6291148 0.        0.3708852]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41391843 0.58608157]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67299822 0.21064115 0.         0.11636063]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17069235 0.13229764 0.         0.         0.69701001]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64415904 0.         0.35584096]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0873536  0.64727707 0.26536933 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.30460643 0.69539357 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.43574497 0.56425503]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.62552103 0.37447897 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11890819 0.88109181 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5633597 0.4366403 0.        0.        0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42571827 0.         0.57428173 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24754333 0.47731004 0.27514663]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.47359496 0.         0.52640504]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49301006 0.50698994]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13265378 0.10281528 0.10725174 0.11559697 0.54168223]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07853873 0.58196016 0.23859083 0.10091028]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20013301 0.33107969 0.4687873 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18787378 0.         0.57073707 0.24138914]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14859035 0.11516716 0.         0.12948439 0.60675809]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35719725 0.11179887 0.46924488 0.061759  ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29918812 0.         0.70081188]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67299822 0.21064115 0.         0.11636063]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37785991 0.29286593 0.         0.32927415 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0801986  0.62334872 0.12917776 0.16727492]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17812263 0.35430924 0.21211335 0.25545477]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78607436 0.10546749 0.10845815]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22607647 0.44969571 0.         0.32422782]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09630862 0.74856484 0.15512654 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23611016 0.53902172 0.22486812]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.3830356 0.        0.6169644 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88170214 0.11829786 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10054241 0.06929762 0.13562883 0.69453114]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5633597 0.4366403 0.        0.        0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32914128 0.22685658 0.44400214 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24754333 0.47731004 0.27514663]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.591983 0.408017 0.       0.      ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.47359496 0.         0.52640504]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19865464 0.16443078 0.63691458]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3345454 0.6654546 0.        0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51219367 0.         0.48780633]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.70276893 0.29723107]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42545391 0.29016106 0.11332492 0.17106011]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64415904 0.         0.35584096]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51325062 0.35003872 0.13671066 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.78966338 0.         0.21033662 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.        0.2051934 0.7948066]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13265378 0.10281528 0.10725174 0.11559697 0.54168223]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35719725 0.11179887 0.46924488 0.061759  ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28943625 0.22433187 0.23401175 0.25222013 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10054241 0.06929762 0.13562883 0.69453114]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78607436 0.10546749 0.10845815]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17812263 0.35430924 0.21211335 0.25545477]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23611016 0.53902172 0.22486812]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0801986  0.62334872 0.12917776 0.16727492]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51219367 0.         0.48780633]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07853873 0.58196016 0.23859083 0.10091028]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20013301 0.33107969 0.4687873 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17392407 0.72999825 0.09607768]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37674742 0.62325258 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18787378 0.         0.57073707 0.24138914]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.27586369 0.         0.3285061  0.39563021]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.21292534 0.         0.34296382 0.44411084]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.45644851 0.         0.54355149 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42545391 0.29016106 0.11332492 0.17106011]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19865464 0.16443078 0.63691458]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50502661 0.19724252 0.29773087]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.39849116 0.60150884]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88170214 0.11829786 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32914128 0.22685658 0.44400214 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24754333 0.47731004 0.27514663]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54712922 0.45287078 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.591983 0.408017 0.       0.      ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34150815 0.65849185 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.3157097  0.32933252 0.35495778 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43766599 0.         0.         0.56233401]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64415904 0.         0.35584096]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47073954 0.         0.52926046 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.3830356 0.        0.6169644 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13265378 0.10281528 0.10725174 0.11559697 0.54168223]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0801986  0.62334872 0.12917776 0.16727492]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23611016 0.53902172 0.22486812]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07853873 0.58196016 0.23859083 0.10091028]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.70562755 0.29437245]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.21292534 0.         0.34296382 0.44411084]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78607436 0.10546749 0.10845815]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17812263 0.35430924 0.21211335 0.25545477]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.32406943 0.         0.         0.67593057]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23923682 0.47587336 0.28488982 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42545391 0.29016106 0.11332492 0.17106011]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20013301 0.33107969 0.4687873 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35719725 0.11179887 0.46924488 0.061759  ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37674742 0.62325258 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59936683 0.         0.15964878 0.24098439]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19865464 0.16443078 0.63691458]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10054241 0.06929762 0.13562883 0.69453114]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88170214 0.11829786 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32914128 0.22685658 0.44400214 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14999245 0.11625388 0.12127021 0.         0.61248346]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.        0.3381585 0.6618415 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24754333 0.47731004 0.27514663]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.        0.2051934 0.7948066]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.39849116 0.60150884]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.62552103 0.37447897 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13676805 0.14266957 0.         0.72056238]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67299822 0.21064115 0.         0.11636063]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48944036 0.51055964 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10314917 0.76431988 0.         0.13253095]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.47359496 0.         0.52640504]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.85222632 0.         0.14777368]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64415904 0.         0.35584096]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
Iteration 55, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14906054 0.09638855 0.10735188 0.10607347 0.54112557]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33261414 0.12979506 0.47272624 0.06486456]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22135507 0.32772635 0.45091858]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63081869 0.24616256 0.         0.12301876]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09299716 0.55951391 0.23101882 0.11647012]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40313706 0.59686294 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41922415 0.29307641 0.10749762 0.18020181]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21112393 0.         0.52446336 0.2644127 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.71930693 0.28069307 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59302612 0.         0.15206399 0.25490989]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17330703 0.32018692 0.22324398 0.28326208]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78654235 0.10191246 0.11154519]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10372252 0.06638593 0.14229201 0.68759955]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47743643 0.52256357]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08590636 0.60536438 0.12856736 0.1801619 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22311643 0.41221041 0.         0.36467317]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10478454 0.73839504 0.15682042 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23049504 0.56564888 0.20385608]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3511837 0.6488163 0.        0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.69937603 0.         0.         0.30062397]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17913771 0.15425179 0.6666105 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32483949 0.2100543  0.23394608 0.23116013 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40054492 0.         0.59945508 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42250604 0.27320943 0.30428454 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25737748 0.49108201 0.25154051]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53732259 0.46267741 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33201782 0.21250268 0.45547951 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3438763 0.6561237 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42161136 0.         0.57838864 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5813312 0.        0.4186688 0.        0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28701411 0.         0.71298589 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28951429 0.71048571 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14906054 0.09638855 0.10735188 0.10607347 0.54112557]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33261414 0.12979506 0.47272624 0.06486456]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32483949 0.2100543  0.23394608 0.23116013 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10372252 0.06638593 0.14229201 0.68759955]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.31111757 0.3465044  0.34237803 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09299716 0.55951391 0.23101882 0.11647012]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22135507 0.32772635 0.45091858]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19448278 0.70832522 0.09719199]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40313706 0.59686294 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41922415 0.29307641 0.10749762 0.18020181]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21112393 0.         0.52446336 0.2644127 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47608212 0.         0.52391788 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25737748 0.49108201 0.25154051]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.0740685  0.15875888 0.76717262]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78654235 0.10191246 0.11154519]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08590636 0.60536438 0.12856736 0.1801619 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17330703 0.32018692 0.22324398 0.28326208]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23049504 0.56564888 0.20385608]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.66482352 0.33517648]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.73508153 0.26491847]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10478454 0.73839504 0.15682042 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25493335 0.         0.32839024 0.41667641]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87579697 0.         0.12420303]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31812626 0.68187374 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50573468 0.         0.49426532]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17913771 0.15425179 0.6666105 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40054492 0.         0.59945508 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37958553 0.         0.         0.62041447]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59302612 0.         0.15206399 0.25490989]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21180974 0.         0.78819026]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37364557 0.62635443]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.66677957 0.         0.33322043]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14906054 0.09638855 0.10735188 0.10607347 0.54112557]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09299716 0.55951391 0.23101882 0.11647012]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22135507 0.32772635 0.45091858]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33261414 0.12979506 0.47272624 0.06486456]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40313706 0.59686294 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21112393 0.         0.52446336 0.2644127 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63081869 0.24616256 0.         0.12301876]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28701411 0.         0.71298589 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16698689 0.10798045 0.         0.11883011 0.60620255]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25737748 0.49108201 0.25154051]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10372252 0.06638593 0.14229201 0.68759955]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78654235 0.10191246 0.11154519]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33201782 0.21250268 0.45547951 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50573468 0.         0.49426532]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18720093 0.         0.         0.13321469 0.67958438]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60974347 0.39025653 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17913771 0.15425179 0.6666105 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41922415 0.29307641 0.10749762 0.18020181]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53732259 0.46267741 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.         0.16389621 0.83610379]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.71930693 0.28069307 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08590636 0.60536438 0.12856736 0.1801619 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23049504 0.56564888 0.20385608]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17330703 0.32018692 0.22324398 0.28326208]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.21768526 0.         0.32578752 0.45652722]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24179972 0.44672802 0.31147226 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47743643 0.52256357]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3511837 0.6488163 0.        0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50462913 0.18509313 0.31027774]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37364557 0.62635443]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28951429 0.71048571 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40054492 0.         0.59945508 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14906054 0.09638855 0.10735188 0.10607347 0.54112557]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33261414 0.12979506 0.47272624 0.06486456]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22135507 0.32772635 0.45091858]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09299716 0.55951391 0.23101882 0.11647012]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23049504 0.56564888 0.20385608]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17330703 0.32018692 0.22324398 0.28326208]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78654235 0.10191246 0.11154519]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10372252 0.06638593 0.14229201 0.68759955]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32483949 0.2100543  0.23394608 0.23116013 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.0740685  0.15875888 0.76717262]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47743643 0.52256357]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22311643 0.41221041 0.         0.36467317]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28951429 0.71048571 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12093554 0.72760416 0.         0.1514603 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32926335 0.         0.67073665]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63081869 0.24616256 0.         0.12301876]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41922415 0.29307641 0.10749762 0.18020181]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17913771 0.15425179 0.6666105 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50462913 0.18509313 0.31027774]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37364557 0.62635443]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37958553 0.         0.         0.62041447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08590636 0.60536438 0.12856736 0.1801619 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.83680997 0.         0.         0.16319003]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.31111757 0.3465044  0.34237803 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44396986 0.         0.         0.55603014]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47608212 0.         0.52391788 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10478454 0.73839504 0.15682042 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25737748 0.49108201 0.25154051]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31812626 0.68187374 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50573468 0.         0.49426532]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53732259 0.46267741 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.82482382 0.17517618 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14906054 0.09638855 0.10735188 0.10607347 0.54112557]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33261414 0.12979506 0.47272624 0.06486456]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22135507 0.32772635 0.45091858]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63081869 0.24616256 0.         0.12301876]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41922415 0.29307641 0.10749762 0.18020181]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40313706 0.59686294 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59302612 0.         0.15206399 0.25490989]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17913771 0.15425179 0.6666105 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37364557 0.62635443]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.83680997 0.         0.         0.16319003]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32483949 0.2100543  0.23394608 0.23116013 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10372252 0.06638593 0.14229201 0.68759955]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78654235 0.10191246 0.11154519]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33201782 0.21250268 0.45547951 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25737748 0.49108201 0.25154051]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60974347 0.39025653 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.31111757 0.3465044  0.34237803 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50573468 0.         0.49426532]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50299497 0.49700503 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09299716 0.55951391 0.23101882 0.11647012]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23049504 0.56564888 0.20385608]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08590636 0.60536438 0.12856736 0.1801619 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17330703 0.32018692 0.22324398 0.28326208]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53066524 0.         0.46933476]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12093554 0.72760416 0.         0.1514603 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44396986 0.         0.         0.55603014]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10478454 0.73839504 0.15682042 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25493335 0.         0.32839024 0.41667641]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47743643 0.52256357]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40054492 0.         0.59945508 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37958553 0.         0.         0.62041447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53732259 0.46267741 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
Iteration 56, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1452931  0.10702624 0.11143344 0.11953005 0.51671718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30791566 0.15463412 0.47021079 0.06723944]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23850419 0.35144384 0.41005197]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58120409 0.29187857 0.         0.12691734]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30063783 0.22145673 0.23057605 0.24732939 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29277843 0.47720466 0.23001691]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3861543  0.         0.29616344 0.31768227 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09818686 0.62388658 0.11368683 0.16423973]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24949927 0.54863014 0.20187059]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26105651 0.         0.30226742 0.43667607]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17885725 0.32109092 0.23166963 0.2683822 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46342166 0.         0.53657834 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56594498 0.         0.43405502 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09814297 0.06644603 0.1378449  0.69756611]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76853847 0.09801934 0.13344219]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32451048 0.2197043  0.45578522 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11347416 0.54548545 0.22743469 0.1136057 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40428 0.59572 0.     ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24966012 0.         0.50039034 0.24994954]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55276015 0.         0.44723985]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24446815 0.43887795 0.3166539  0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49971036 0.         0.         0.50028964]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.69694704 0.         0.30305296]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40213942 0.29749629 0.10187408 0.19849021]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5017274  0.37116988 0.12710273 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.7978743 0.        0.2021257 0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19269146 0.15616486 0.65114369]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.32525198 0.67474802 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67475976 0.32524024]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19343888 0.80656112]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43567732 0.         0.56432268 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.42348006 0.57651994]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1452931  0.10702624 0.11143344 0.11953005 0.51671718]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09814297 0.06644603 0.1378449  0.69756611]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76853847 0.09801934 0.13344219]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32451048 0.2197043  0.45578522 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29277843 0.47720466 0.23001691]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59629118 0.40370882 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19269146 0.15616486 0.65114369]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40213942 0.29749629 0.10187408 0.19849021]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30791566 0.15463412 0.47021079 0.06723944]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5017274  0.37116988 0.12710273 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55235193 0.44764807 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.12521981 0.13037621 0.13984916 0.60455482]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11347416 0.54548545 0.22743469 0.1136057 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23850419 0.35144384 0.41005197]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74491327 0.25508673 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46151776 0.53848224]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24966012 0.         0.50039034 0.24994954]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24949927 0.54863014 0.20187059]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09818686 0.62388658 0.11368683 0.16423973]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.42348006 0.57651994]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17885725 0.32109092 0.23166963 0.2683822 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11078123 0.70391212 0.         0.18530666]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55276015 0.         0.44723985]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49971036 0.         0.         0.50028964]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36423951 0.         0.55622163 0.07953886]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82076896 0.         0.         0.17923104]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14399308 0.         0.16081571 0.69519121]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47240463 0.         0.52759537 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56002494 0.         0.43997506]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37414981 0.         0.         0.62585019]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23278691 0.41790737 0.         0.34930573]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54470834 0.         0.45529166]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1452931  0.10702624 0.11143344 0.11953005 0.51671718]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29277843 0.47720466 0.23001691]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09814297 0.06644603 0.1378449  0.69756611]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76853847 0.09801934 0.13344219]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32451048 0.2197043  0.45578522 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16270702 0.         0.12478916 0.13385617 0.57864766]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30791566 0.15463412 0.47021079 0.06723944]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23850419 0.35144384 0.41005197]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11347416 0.54548545 0.22743469 0.1136057 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58120409 0.29187857 0.         0.12691734]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3861543  0.         0.29616344 0.31768227 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09818686 0.62388658 0.11368683 0.16423973]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56594498 0.         0.43405502 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.32525198 0.67474802 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56002494 0.         0.43997506]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1280177  0.61539819 0.25658411 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24949927 0.54863014 0.20187059]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.69181358 0.12606473 0.18212169]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55276015 0.         0.44723985]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.17220199 0.82779801 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3677464 0.        0.6322536]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.69694704 0.         0.30305296]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40213942 0.29749629 0.10187408 0.19849021]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57243744 0.         0.14501572 0.28254684]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19269146 0.15616486 0.65114369]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33916842 0.66083158]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17885725 0.32109092 0.23166963 0.2683822 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.42348006 0.57651994]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23278691 0.41790737 0.         0.34930573]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39991385 0.         0.         0.60008615]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55235193 0.44764807 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.        0.4090535 0.5909465]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1452931  0.10702624 0.11143344 0.11953005 0.51671718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30791566 0.15463412 0.47021079 0.06723944]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23850419 0.35144384 0.41005197]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58120409 0.29187857 0.         0.12691734]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40213942 0.29749629 0.10187408 0.19849021]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19269146 0.15616486 0.65114369]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49760145 0.17039772 0.33200083]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17885725 0.32109092 0.23166963 0.2683822 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.59980724 0.         0.40019276]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82076896 0.         0.         0.17923104]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11347416 0.54548545 0.22743469 0.1136057 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24949927 0.54863014 0.20187059]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09818686 0.62388658 0.11368683 0.16423973]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30063783 0.22145673 0.23057605 0.24732939 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1468797  0.70607034 0.         0.14704997]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40428 0.59572 0.     ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49971036 0.         0.         0.50028964]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39073105 0.28782147 0.         0.32144748 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.69181358 0.12606473 0.18212169]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55276015 0.         0.44723985]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57583022 0.42416978 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29277843 0.47720466 0.23001691]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09814297 0.06644603 0.1378449  0.69756611]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76853847 0.09801934 0.13344219]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32451048 0.2197043  0.45578522 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56002494 0.         0.43997506]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59629118 0.40370882 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55235193 0.44764807 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.        0.4090535 0.5909465]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39102936 0.28213076 0.32683988]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.42348006 0.57651994]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54470834 0.         0.45529166]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1452931  0.10702624 0.11143344 0.11953005 0.51671718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30791566 0.15463412 0.47021079 0.06723944]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40213942 0.29749629 0.10187408 0.19849021]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19269146 0.15616486 0.65114369]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09814297 0.06644603 0.1378449  0.69756611]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30063783 0.22145673 0.23057605 0.24732939 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.0736769  0.15284562 0.77347748]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19343888 0.80656112]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49760145 0.17039772 0.33200083]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23850419 0.35144384 0.41005197]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11347416 0.54548545 0.22743469 0.1136057 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.31665529 0.32969477 0.35364994 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.61530688 0.25654603 0.12814709]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36423951 0.         0.55622163 0.07953886]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47240463 0.         0.52759537 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09818686 0.62388658 0.11368683 0.16423973]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17885725 0.32109092 0.23166963 0.2683822 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33916842 0.66083158]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.87489178 0.12510822]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3677464 0.        0.6322536]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39102936 0.28213076 0.32683988]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24949927 0.54863014 0.20187059]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11748208 0.74648987 0.13602804 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29277843 0.47720466 0.23001691]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.         0.16500249 0.83499751]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76853847 0.09801934 0.13344219]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56002494 0.         0.43997506]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.        0.7057462 0.2942538 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55276015 0.         0.44723985]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46329124 0.53670876]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.42348006 0.57651994]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.8458637 0.1541363 0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
Iteration 57, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13800954 0.10899273 0.11825505 0.11376894 0.52097375]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10105679 0.06415789 0.14187355 0.69291177]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20208518 0.1567688  0.64114602]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41794569 0.28008349 0.12124267 0.18072816]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56314041 0.43685959 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10798487 0.         0.15159988 0.74041525]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.12644308 0.13718835 0.13198399 0.60438459]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35428955 0.14842274 0.41918183 0.07810588]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.3196111 0.346772  0.3336169 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08301392 0.61109309 0.10396074 0.20193225]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78653815 0.09536176 0.11810009]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09264541 0.68199365 0.         0.22536094]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20776189 0.28712644 0.22541792 0.27969376]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22434324 0.59129456 0.1843622 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.29144283 0.         0.31621023 0.39234694]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86945047 0.         0.13054953]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.         0.16995214 0.83004786]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42621701 0.         0.         0.57378299]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11959816 0.88040184 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27505253 0.72494747 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47962065 0.52037935 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28827165 0.4703679  0.24136045]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54428659 0.         0.45571341]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11508237 0.55453183 0.22589985 0.10448596]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14866599 0.7163567  0.         0.13497731]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21067423 0.31111036 0.47821541]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.5241301 0.        0.        0.4758699]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4811982  0.20830129 0.3105005 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.60780471 0.         0.39219529]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3058171 0.        0.6941829]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.2298596  0.64917925 0.12096115]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65520525 0.         0.34479475]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13800954 0.10899273 0.11825505 0.11376894 0.52097375]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35428955 0.14842274 0.41918183 0.07810588]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11508237 0.55453183 0.22589985 0.10448596]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21067423 0.31111036 0.47821541]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38430611 0.1609976  0.45469628 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41794569 0.28008349 0.12124267 0.18072816]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40375709 0.59624291 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58054744 0.         0.16841212 0.25104044]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20208518 0.1567688  0.64114602]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.40150457 0.59849543]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.45805127 0.         0.54194873 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28810434 0.22752975 0.24686548 0.23750042 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08301392 0.61109309 0.10396074 0.20193225]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20776189 0.28712644 0.22541792 0.27969376]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22434324 0.59129456 0.1843622 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10401864 0.7657158  0.13026556 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78653815 0.09536176 0.11810009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10105679 0.06415789 0.14187355 0.69291177]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44673912 0.55326088]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11959816 0.88040184 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489118 0.        0.4510882]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25834027 0.         0.5071066  0.23455314]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37784197 0.29839984 0.32375819 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68374562 0.31625438]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.29144283 0.         0.31621023 0.39234694]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55873796 0.44126204 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28827165 0.4703679  0.24136045]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56314041 0.43685959 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32908063 0.20892331 0.46199606 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31139853 0.68860147 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.379985 0.620015 0.      ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.47962044 0.         0.52037956 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13800954 0.10899273 0.11825505 0.11376894 0.52097375]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28827165 0.4703679  0.24136045]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1548916  0.         0.13272063 0.12768576 0.58470201]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11508237 0.55453183 0.22589985 0.10448596]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21067423 0.31111036 0.47821541]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35428955 0.14842274 0.41918183 0.07810588]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40375709 0.59624291 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25834027 0.         0.5071066  0.23455314]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22434324 0.59129456 0.1843622 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08301392 0.61109309 0.10396074 0.20193225]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20776189 0.28712644 0.22541792 0.27969376]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489118 0.        0.4510882]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.5241301 0.        0.        0.4758699]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17859482 0.         0.         0.14722563 0.67417955]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60998358 0.25554081 0.         0.13447561]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.54813876 0.         0.         0.45186124 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10105679 0.06415789 0.14187355 0.69291177]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78653815 0.09536176 0.11810009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32908063 0.20892331 0.46199606 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66088123 0.33911877]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61166955 0.38833045 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10401864 0.7657158  0.13026556 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.29144283 0.         0.31621023 0.39234694]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44673912 0.55326088]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44398487 0.         0.55601513 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42621701 0.         0.         0.57378299]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20208518 0.1567688  0.64114602]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41794569 0.28008349 0.12124267 0.18072816]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58054744 0.         0.16841212 0.25104044]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.69811917 0.         0.         0.30188083]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56314041 0.43685959 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65520525 0.         0.34479475]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13800954 0.10899273 0.11825505 0.11376894 0.52097375]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35428955 0.14842274 0.41918183 0.07810588]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21067423 0.31111036 0.47821541]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11508237 0.55453183 0.22589985 0.10448596]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3058171 0.        0.6941829]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60998358 0.25554081 0.         0.13447561]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28810434 0.22752975 0.24686548 0.23750042 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08301392 0.61109309 0.10396074 0.20193225]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22434324 0.59129456 0.1843622 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20776189 0.28712644 0.22541792 0.27969376]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.21345448 0.         0.26731524 0.51923028]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78653815 0.09536176 0.11810009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10105679 0.06415789 0.14187355 0.69291177]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28827165 0.4703679  0.24136045]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11776445 0.07476508 0.         0.80747048]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44673912 0.55326088]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29133195 0.         0.         0.70866805]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28843549 0.39861717 0.31294733 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27505253 0.72494747 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37784197 0.29839984 0.32375819 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25834027 0.         0.5071066  0.23455314]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55873796 0.44126204 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61166955 0.38833045 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54428659 0.         0.45571341]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20208518 0.1567688  0.64114602]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41794569 0.28008349 0.12124267 0.18072816]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.47962044 0.         0.52037956 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4756099  0.31872677 0.         0.20566333]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.69811917 0.         0.         0.30188083]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56314041 0.43685959 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65520525 0.         0.34479475]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68374562 0.31625438]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13800954 0.10899273 0.11825505 0.11376894 0.52097375]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35428955 0.14842274 0.41918183 0.07810588]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21067423 0.31111036 0.47821541]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60998358 0.25554081 0.         0.13447561]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28810434 0.22752975 0.24686548 0.23750042 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08301392 0.61109309 0.10396074 0.20193225]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20776189 0.28712644 0.22541792 0.27969376]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41794569 0.28008349 0.12124267 0.18072816]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40375709 0.59624291 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11508237 0.55453183 0.22589985 0.10448596]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37784197 0.29839984 0.32375819 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.62664796 0.25527782 0.11807422]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58054744 0.         0.16841212 0.25104044]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20208518 0.1567688  0.64114602]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.40150457 0.59849543]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65520525 0.         0.34479475]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.36242442 0.28453304 0.35304255]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78653815 0.09536176 0.11810009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10105679 0.06415789 0.14187355 0.69291177]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28827165 0.4703679  0.24136045]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56314041 0.43685959 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.379985 0.620015 0.      ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11776445 0.07476508 0.         0.80747048]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.44673912 0.55326088]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.50655647 0.         0.49344353]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10401864 0.7657158  0.13026556 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22434324 0.59129456 0.1843622 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44398487 0.         0.55601513 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55873796 0.44126204 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61166955 0.38833045 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489118 0.        0.4510882]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68374562 0.31625438]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
Iteration 58, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15501195 0.12925239 0.10373203 0.10829254 0.50371108]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179869 0.58367143 0.11197772 0.21255216]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19750016 0.37612326 0.19971481 0.22666178]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78743087 0.09618643 0.1163827 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.06987435 0.05127885 0.15780033 0.72104646]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45249482 0.54750518]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11657748 0.74121917 0.14220335 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21097346 0.59581728 0.19320926]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11255886 0.5393109  0.23934396 0.10878628]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19780849 0.31379953 0.48839198]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24432717 0.         0.51953466 0.23613818]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75512958 0.24487042]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45048732 0.         0.54951268 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17383723 0.14494932 0.11632967 0.         0.56488378]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34541867 0.14806643 0.43011293 0.07640198]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50852194 0.         0.         0.49147806]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37399243 0.16031479 0.46569278 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28826633 0.         0.71173367]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.69995765 0.30004235 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39951907 0.33312783 0.26735309 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25048742 0.18382578 0.5656868  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.20064994 0.55092348 0.24842658]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57674374 0.42325626 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.55476839 0.44523161 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.44680568 0.         0.55319432]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17059977 0.18458341 0.64481683]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44040818 0.26937501 0.11541958 0.17479723]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6027828  0.         0.15797376 0.23924343]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48031489 0.51968511 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24678722 0.46998652 0.         0.28322625]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.39770122 0.60229878]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.62397577 0.         0.37602423]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15501195 0.12925239 0.10373203 0.10829254 0.50371108]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34541867 0.14806643 0.43011293 0.07640198]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31234216 0.2604378  0.20901541 0.21820462 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11255886 0.5393109  0.23934396 0.10878628]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39487769 0.32925774 0.         0.27586457 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.20064994 0.55092348 0.24842658]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58871747 0.         0.         0.41128253 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.06987435 0.05127885 0.15780033 0.72104646]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78743087 0.09618643 0.1163827 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25048742 0.18382578 0.5656868  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68921429 0.31078571]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57674374 0.42325626 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179869 0.58367143 0.11197772 0.21255216]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19750016 0.37612326 0.19971481 0.22666178]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21097346 0.59581728 0.19320926]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11657748 0.74121917 0.14220335 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52197546 0.         0.47802454]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.60771456 0.26970122 0.12258423]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.2262002  0.65708095 0.11671885]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.69261868 0.30738132 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19780849 0.31379953 0.48839198]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.25609082 0.74390918 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38664072 0.61335928 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44040818 0.26937501 0.11541958 0.17479723]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17059977 0.18458341 0.64481683]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48137767 0.20625673 0.3123656 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.70004885 0.29995115 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3165692  0.         0.32011901 0.36331179]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46840003 0.53159997]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45048732 0.         0.54951268 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45249482 0.54750518]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48031489 0.51968511 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15501195 0.12925239 0.10373203 0.10829254 0.50371108]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.20064994 0.55092348 0.24842658]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17802168 0.         0.11912985 0.12436731 0.57848116]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34541867 0.14806643 0.43011293 0.07640198]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42233387 0.         0.28262046 0.29504567 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.06987435 0.05127885 0.15780033 0.72104646]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78743087 0.09618643 0.1163827 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25048742 0.18382578 0.5656868  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.48924534 0.51075466 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11255886 0.5393109  0.23934396 0.10878628]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21097346 0.59581728 0.19320926]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179869 0.58367143 0.11197772 0.21255216]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52197546 0.         0.47802454]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14797603 0.70900757 0.         0.14301639]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19780849 0.31379953 0.48839198]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.2262002  0.65708095 0.11671885]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38664072 0.61335928 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50852194 0.         0.         0.49147806]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65963147 0.         0.34036853]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44040818 0.26937501 0.11541958 0.17479723]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6027828  0.         0.15797376 0.23924343]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17059977 0.18458341 0.64481683]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.24526043 0.75473957 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68921429 0.31078571]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.22255046 0.77744954]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.39770122 0.60229878]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19750016 0.37612326 0.19971481 0.22666178]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45249482 0.54750518]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22049577 0.         0.26896477 0.51053946]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24678722 0.46998652 0.         0.28322625]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30162126 0.         0.         0.69837874]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.62397577 0.         0.37602423]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15501195 0.12925239 0.10373203 0.10829254 0.50371108]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.06987435 0.05127885 0.15780033 0.72104646]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78743087 0.09618643 0.1163827 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25048742 0.18382578 0.5656868  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15296358 0.12276154 0.12815866 0.59611622]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11255886 0.5393109  0.23934396 0.10878628]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21097346 0.59581728 0.19320926]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179869 0.58367143 0.11197772 0.21255216]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52197546 0.         0.47802454]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19750016 0.37612326 0.19971481 0.22666178]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45249482 0.54750518]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24678722 0.46998652 0.         0.28322625]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14797603 0.70900757 0.         0.14301639]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19780849 0.31379953 0.48839198]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34541867 0.14806643 0.43011293 0.07640198]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44040818 0.26937501 0.11541958 0.17479723]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17059977 0.18458341 0.64481683]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48137767 0.20625673 0.3123656 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38664072 0.61335928 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.39770122 0.60229878]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.46562443 0.         0.         0.53437557]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40545258 0.         0.50486674 0.08968068]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50852194 0.         0.         0.49147806]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.17436944 0.         0.1460933  0.67953726]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.445396 0.       0.554604 0.      ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54411767 0.         0.45588233 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.20064994 0.55092348 0.24842658]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.24526043 0.75473957 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.44680568 0.         0.55319432]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22049577 0.         0.26896477 0.51053946]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45048732 0.         0.54951268 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48031489 0.51968511 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15501195 0.12925239 0.10373203 0.10829254 0.50371108]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.06987435 0.05127885 0.15780033 0.72104646]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78743087 0.09618643 0.1163827 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25048742 0.18382578 0.5656868  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.20064994 0.55092348 0.24842658]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57674374 0.42325626 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15296358 0.12276154 0.12815866 0.59611622]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11255886 0.5393109  0.23934396 0.10878628]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21097346 0.59581728 0.19320926]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179869 0.58367143 0.11197772 0.21255216]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19750016 0.37612326 0.19971481 0.22666178]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52197546 0.         0.47802454]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14797603 0.70900757 0.         0.14301639]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19780849 0.31379953 0.48839198]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50852194 0.         0.         0.49147806]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.17436944 0.         0.1460933  0.67953726]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11657748 0.74121917 0.14220335 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3165692  0.         0.32011901 0.36331179]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45048732 0.         0.54951268 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.20420198 0.         0.         0.79579802]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34541867 0.14806643 0.43011293 0.07640198]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44040818 0.26937501 0.11541958 0.17479723]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28826633 0.         0.71173367]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40545258 0.         0.50486674 0.08968068]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.445396 0.       0.554604 0.      ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.44680568 0.         0.55319432]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17059977 0.18458341 0.64481683]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6027828  0.         0.15797376 0.23924343]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48031489 0.51968511 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45249482 0.54750518]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.49721229 0.         0.50278771 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.39770122 0.60229878]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
Iteration 59, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15777415 0.11591598 0.10610712 0.10225095 0.5179518 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08116133 0.05415275 0.15736862 0.7073173 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81689292 0.08762211 0.09548497]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18257147 0.3546938  0.21518931 0.24754542]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42792249 0.28137101 0.10983782 0.18086868]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1758355  0.17480724 0.64935726]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49184072 0.19199815 0.31616114]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.43391414 0.26325153 0.30283433]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90312808 0.09687192 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.27730141 0.18502205 0.53767654 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50146625 0.49853375 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23572098 0.53797321 0.22630582]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34025633 0.         0.65974367 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13763052 0.12598416 0.12140562 0.61497971]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35833626 0.12899927 0.4200217  0.09264277]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35746302 0.32721434 0.31532264 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08765223 0.61774988 0.12429495 0.17030294]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20640895 0.61647059 0.17712046]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22930595 0.         0.32516655 0.4455275 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.58895832 0.         0.41104168]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53818285 0.         0.46181715]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41355694 0.         0.58644306 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52208973 0.47791027 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51018898 0.         0.48981102]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10934294 0.51728956 0.24501794 0.12834956]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20103873 0.65458227 0.144379  ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.60871236 0.         0.39128764]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19134236 0.34907403 0.4595836 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.81929162 0.18070838]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35406469 0.64593531 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12544357 0.59345987 0.28109656 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30856381 0.         0.69143619 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15777415 0.11591598 0.10610712 0.10225095 0.5179518 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08116133 0.05415275 0.15736862 0.7073173 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81689292 0.08762211 0.09548497]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.27730141 0.18502205 0.53767654 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23572098 0.53797321 0.22630582]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1758355  0.17480724 0.64935726]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42792249 0.28137101 0.10983782 0.18086868]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50146625 0.49853375 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30466944 0.69533056 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13763052 0.12598416 0.12140562 0.61497971]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35833626 0.12899927 0.4200217  0.09264277]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10934294 0.51728956 0.24501794 0.12834956]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20640895 0.61647059 0.17712046]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08765223 0.61774988 0.12429495 0.17030294]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53818285 0.         0.46181715]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18257147 0.3546938  0.21518931 0.24754542]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14482853 0.68516801 0.         0.17000346]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19134236 0.34907403 0.4595836 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46001848 0.         0.         0.53998152]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35746302 0.32721434 0.31532264 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22930595 0.         0.32516655 0.4455275 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47852932 0.52147068]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.33979637 0.         0.         0.66020363]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28292223 0.         0.33346853 0.38360924]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49184072 0.19199815 0.31616114]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39492302 0.14217032 0.46290666 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52208973 0.47791027 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.23496237 0.76503763 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29395411 0.         0.70604589]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.71923481 0.28076519 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46503816 0.53496184]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59979957 0.40020043 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15777415 0.11591598 0.10610712 0.10225095 0.5179518 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23572098 0.53797321 0.22630582]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1758355  0.17480724 0.64935726]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42792249 0.28137101 0.10983782 0.18086868]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50146625 0.49853375 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08116133 0.05415275 0.15736862 0.7073173 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81689292 0.08762211 0.09548497]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.27730141 0.18502205 0.53767654 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30466944 0.69533056 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59979957 0.40020043 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17846059 0.         0.12001927 0.1156575  0.58586265]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35833626 0.12899927 0.4200217  0.09264277]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43092125 0.         0.28980546 0.27927328 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50925371 0.49074629 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08765223 0.61774988 0.12429495 0.17030294]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10934294 0.51728956 0.24501794 0.12834956]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20640895 0.61647059 0.17712046]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.67709912 0.13623638 0.1866645 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53818285 0.         0.46181715]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14482853 0.68516801 0.         0.17000346]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19134236 0.34907403 0.4595836 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49184072 0.19199815 0.31616114]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20103873 0.65458227 0.144379  ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.71923481 0.28076519 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43167098 0.56832902]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.81929162 0.18070838]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46001848 0.         0.         0.53998152]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.42191393 0.57808607]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18257147 0.3546938  0.21518931 0.24754542]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47852932 0.52147068]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23263123 0.45194822 0.         0.31542055]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33981626 0.66018374 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15777415 0.11591598 0.10610712 0.10225095 0.5179518 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08765223 0.61774988 0.12429495 0.17030294]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17574416 0.12911846 0.1181924  0.         0.57694497]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23572098 0.53797321 0.22630582]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20180031 0.         0.13571582 0.         0.66248387]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35833626 0.12899927 0.4200217  0.09264277]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59789827 0.         0.40210173 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08116133 0.05415275 0.15736862 0.7073173 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81689292 0.08762211 0.09548497]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.67709912 0.13623638 0.1866645 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18257147 0.3546938  0.21518931 0.24754542]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89534493 0.         0.10465507]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.27730141 0.18502205 0.53767654 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.70389634 0.29610366]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59979957 0.40020043 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10934294 0.51728956 0.24501794 0.12834956]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19134236 0.34907403 0.4595836 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20103873 0.65458227 0.144379  ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35406469 0.64593531 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2265187  0.         0.50758782 0.26589348]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20640895 0.61647059 0.17712046]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.8324967 0.1675033 0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53818285 0.         0.46181715]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46001848 0.         0.         0.53998152]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58201625 0.         0.41798375]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42792249 0.28137101 0.10983782 0.18086868]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59547068 0.         0.15284357 0.25168575]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1758355  0.17480724 0.64935726]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79574948 0.         0.20425052 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50146625 0.49853375 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23263123 0.45194822 0.         0.31542055]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.58895832 0.         0.41104168]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15777415 0.11591598 0.10610712 0.10225095 0.5179518 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23572098 0.53797321 0.22630582]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08116133 0.05415275 0.15736862 0.7073173 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51018898 0.         0.48981102]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17846059 0.         0.12001927 0.1156575  0.58586265]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35833626 0.12899927 0.4200217  0.09264277]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19134236 0.34907403 0.4595836 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10934294 0.51728956 0.24501794 0.12834956]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29395411 0.         0.70604589]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61784426 0.22242085 0.         0.15973489]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42792249 0.28137101 0.10983782 0.18086868]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59547068 0.         0.15284357 0.25168575]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1758355  0.17480724 0.64935726]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21308415 0.         0.78691585]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37783064 0.62216936]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18257147 0.3546938  0.21518931 0.24754542]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.79457411 0.         0.         0.20542589]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43092125 0.         0.28980546 0.27927328 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08765223 0.61774988 0.12429495 0.17030294]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.43391414 0.26325153 0.30283433]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81689292 0.08762211 0.09548497]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0963189  0.06426624 0.         0.83941486]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47852932 0.52147068]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.58895832 0.         0.41104168]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10564365 0.74454871 0.14980764 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20640895 0.61647059 0.17712046]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2265187  0.         0.50758782 0.26589348]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59789827 0.         0.40210173 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.       0.       0.656238 0.343762]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77681142 0.22318858]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41355694 0.         0.58644306 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59979957 0.40020043 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
Iteration 60, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16416017 0.12900338 0.09730354 0.10841928 0.50111362]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35632746 0.12673382 0.437893   0.07904573]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21861866 0.36571766 0.41566368]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41840524 0.30970253 0.1004197  0.17147254]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63391393 0.22546209 0.         0.14062398]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32905323 0.2585827  0.19504149 0.21732259 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08600055 0.63075045 0.13072554 0.15252346]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80811448 0.08660726 0.10527826]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10509284 0.07383326 0.17219034 0.64888356]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42041999 0.33038221 0.2491978  0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11048621 0.52372021 0.25169086 0.11410273]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46803992 0.53196008]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23197753 0.         0.52845168 0.23957079]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55996105 0.44003895 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26155868 0.50714339 0.23129793]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16670821 0.17908162 0.65421017]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08250382 0.1924114  0.72508478]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4513486 0.5486514]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09893372 0.72560564 0.         0.17546064]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20038252 0.62058764 0.17902984]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18428192 0.33895195 0.22094401 0.25582212]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36055303 0.         0.         0.63944697]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24763155 0.45547168 0.29689677 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50499864 0.37379874 0.12120262 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.60538381 0.39461619 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24408015 0.75591985 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.30010642 0.69989358 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.21490866 0.78509134]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34026015 0.65973985 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57464741 0.42535259 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61587181 0.         0.38412819]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.       0.       0.688068 0.311932]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16416017 0.12900338 0.09730354 0.10841928 0.50111362]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35632746 0.12673382 0.437893   0.07904573]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21861866 0.36571766 0.41566368]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11048621 0.52372021 0.25169086 0.11410273]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20038252 0.62058764 0.17902984]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08600055 0.63075045 0.13072554 0.15252346]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52813914 0.         0.47186086]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14764781 0.69987145 0.         0.15248073]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32905323 0.2585827  0.19504149 0.21732259 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.82110595 0.         0.17889405]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3446709 0.        0.6553291]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41840524 0.30970253 0.1004197  0.17147254]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63391393 0.22546209 0.         0.14062398]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40878284 0.3212373  0.         0.26997986 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23290632 0.         0.35403034 0.41306335]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18428192 0.33895195 0.22094401 0.25582212]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39681679 0.         0.60318321 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80811448 0.08660726 0.10527826]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10509284 0.07383326 0.17219034 0.64888356]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4513486 0.5486514]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24763155 0.45547168 0.29689677 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55996105 0.44003895 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26155868 0.50714339 0.23129793]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29931051 0.21028141 0.49040808 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.30010642 0.69989358 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16670821 0.17908162 0.65421017]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6061231  0.         0.14547307 0.24840383]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48210849 0.51789151 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53069935 0.         0.46930065]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61587181 0.         0.38412819]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36933639 0.63066361]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.352198 0.647802 0.       0.      ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16416017 0.12900338 0.09730354 0.10841928 0.50111362]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08600055 0.63075045 0.13072554 0.15252346]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20038252 0.62058764 0.17902984]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23290632 0.         0.35403034 0.41306335]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18428192 0.33895195 0.22094401 0.25582212]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41840524 0.30970253 0.1004197  0.17147254]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16670821 0.17908162 0.65421017]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.5325057  0.17266266 0.29483164]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21861866 0.36571766 0.41566368]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35632746 0.12673382 0.437893   0.07904573]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18412261 0.14469064 0.10913599 0.         0.56205076]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19689176 0.68030398 0.12280425]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37413157 0.62586843 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36933639 0.63066361]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61587181 0.         0.38412819]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.41552585 0.27085829 0.31361586]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39681679 0.         0.60318321 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42041999 0.33038221 0.2491978  0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10509284 0.07383326 0.17219034 0.64888356]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80811448 0.08660726 0.10527826]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.60538381 0.39461619 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90320202 0.09679798 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29931051 0.21028141 0.49040808 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.57003728 0.42996272 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26155868 0.50714339 0.23129793]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.30010642 0.69989358 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53069935 0.         0.46930065]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11048621 0.52372021 0.25169086 0.11410273]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48210849 0.51789151 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52813914 0.         0.47186086]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.58877132 0.2829533  0.12827539]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.82110595 0.         0.17889405]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16416017 0.12900338 0.09730354 0.10841928 0.50111362]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35632746 0.12673382 0.437893   0.07904573]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32905323 0.2585827  0.19504149 0.21732259 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10509284 0.07383326 0.17219034 0.64888356]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26155868 0.50714339 0.23129793]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12695291 0.08919111 0.         0.78385599]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80811448 0.08660726 0.10527826]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58735332 0.41264668 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.38539972 0.29069592 0.32390437 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08600055 0.63075045 0.13072554 0.15252346]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4513486 0.5486514]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09893372 0.72560564 0.         0.17546064]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20038252 0.62058764 0.17902984]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11048621 0.52372021 0.25169086 0.11410273]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.57003728 0.42996272 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53069935 0.         0.46930065]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16670821 0.17908162 0.65421017]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41840524 0.30970253 0.1004197  0.17147254]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21861866 0.36571766 0.41566368]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6061231  0.         0.14547307 0.24840383]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48210849 0.51789151 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.58877132 0.2829533  0.12827539]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46803992 0.53196008]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.       0.       0.688068 0.311932]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77610564 0.22389436]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36055303 0.         0.         0.63944697]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18428192 0.33895195 0.22094401 0.25582212]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19689176 0.68030398 0.12280425]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61587181 0.         0.38412819]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36933639 0.63066361]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24763155 0.45547168 0.29689677 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4547634 0.        0.5452366 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16416017 0.12900338 0.09730354 0.10841928 0.50111362]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35632746 0.12673382 0.437893   0.07904573]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32905323 0.2585827  0.19504149 0.21732259 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26155868 0.50714339 0.23129793]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44381649 0.         0.26306573 0.29311777 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08600055 0.63075045 0.13072554 0.15252346]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20038252 0.62058764 0.17902984]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18428192 0.33895195 0.22094401 0.25582212]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24408015 0.75591985 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11048621 0.52372021 0.25169086 0.11410273]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19689176 0.68030398 0.12280425]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21861866 0.36571766 0.41566368]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61587181 0.         0.38412819]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41840524 0.30970253 0.1004197  0.17147254]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37413157 0.62586843 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12471673 0.59117487 0.2841084  0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6061231  0.         0.14547307 0.24840383]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16670821 0.17908162 0.65421017]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36933639 0.63066361]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.3050613 0.        0.6949387 0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23290632 0.         0.35403034 0.41306335]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.27877236 0.         0.3342329  0.38699475]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39681679 0.         0.60318321 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62785069 0.         0.37214931 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10509284 0.07383326 0.17219034 0.64888356]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4547634 0.        0.5452366 0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80811448 0.08660726 0.10527826]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08250382 0.1924114  0.72508478]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4513486 0.5486514]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48210849 0.51789151 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.30010642 0.69989358 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68677548 0.31322452]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
Iteration 61, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17403361 0.10866188 0.11188621 0.09372193 0.51169639]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09514333 0.06741219 0.13607387 0.7013706 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77011929 0.09643872 0.133442  ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31860003 0.22573863 0.45566134 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20976819 0.16476224 0.62546956]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43051256 0.31274989 0.09792706 0.15881049]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20111537 0.33211276 0.20566412 0.26110775]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.41951634 0.58048366]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25318681 0.41810117 0.         0.32871202]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22270418 0.58774843 0.18954739]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08643782 0.64183449 0.12662403 0.14510366]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43510452 0.         0.         0.56489548]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10110912 0.75077464 0.14811624 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54021426 0.         0.45978574]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47724806 0.34670133 0.         0.17605061]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56008316 0.43991684 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.41148899 0.         0.58851101 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26398671 0.50634394 0.22966936]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34269272 0.65730728 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13155726 0.13546097 0.11346942 0.61951235]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33633748 0.12131506 0.46767027 0.07467719]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34575961 0.35601936 0.29822103 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09784737 0.57907344 0.22931006 0.09376912]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24293687 0.33777707 0.41928605]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18279631 0.70468085 0.11252284]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41834172 0.58165828 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23245712 0.         0.54477452 0.22276837]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.5106417 0.        0.        0.4893583]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53690994 0.         0.46309006 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40569355 0.         0.59430645 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61897886 0.         0.38102114]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.66322342 0.         0.33677658]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17403361 0.10866188 0.11188621 0.09372193 0.51169639]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09784737 0.57907344 0.22931006 0.09376912]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24293687 0.33777707 0.41928605]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33633748 0.12131506 0.46767027 0.07467719]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19595868 0.1223513  0.         0.10552919 0.57616084]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09514333 0.06741219 0.13607387 0.7013706 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77011929 0.09643872 0.133442  ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20111537 0.33211276 0.20566412 0.26110775]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08643782 0.64183449 0.12662403 0.14510366]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22270418 0.58774843 0.18954739]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24133484 0.         0.35353496 0.40513019]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.27218498 0.44947387 0.27834115 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88871061 0.11128939 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31860003 0.22573863 0.45566134 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26398671 0.50634394 0.22966936]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20976819 0.16476224 0.62546956]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43051256 0.31274989 0.09792706 0.15881049]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41834172 0.58165828 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23245712 0.         0.54477452 0.22276837]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18279631 0.70468085 0.11252284]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29908345 0.         0.70091655 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54021426 0.         0.45978574]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15217041 0.         0.13124846 0.71658113]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20597297 0.79402703 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.62642778 0.         0.14249115 0.23108107]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56008316 0.43991684 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34269272 0.65730728 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58529745 0.41470255 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53690994 0.         0.46309006 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40569355 0.         0.59430645 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37716572 0.62283428 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.38142866 0.61857134]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17403361 0.10866188 0.11188621 0.09372193 0.51169639]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09514333 0.06741219 0.13607387 0.7013706 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26398671 0.50634394 0.22966936]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13155726 0.13546097 0.11346942 0.61951235]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08643782 0.64183449 0.12662403 0.14510366]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22270418 0.58774843 0.18954739]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24133484 0.         0.35353496 0.40513019]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77011929 0.09643872 0.133442  ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11012902 0.07803004 0.         0.81184094]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14839563 0.15279898 0.         0.6988054 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33633748 0.12131506 0.46767027 0.07467719]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.49269019 0.50730981 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09784737 0.57907344 0.22931006 0.09376912]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54021426 0.         0.45978574]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12696075 0.75137019 0.         0.12166906]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24293687 0.33777707 0.41928605]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18279631 0.70468085 0.11252284]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41834172 0.58165828 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43051256 0.31274989 0.09792706 0.15881049]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.5106417 0.        0.        0.4893583]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68795488 0.31204512]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08768691 0.         0.91231309]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.41951634 0.58048366]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37331461 0.         0.         0.62668539]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20111537 0.33211276 0.20566412 0.26110775]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.62642778 0.         0.14249115 0.23108107]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20976819 0.16476224 0.62546956]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.25114788 0.         0.74885212]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.38142866 0.61857134]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61897886 0.         0.38102114]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.41572055 0.25743907 0.32684038]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.        0.        0.4406095 0.5593905]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17403361 0.10866188 0.11188621 0.09372193 0.51169639]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33633748 0.12131506 0.46767027 0.07467719]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24293687 0.33777707 0.41928605]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43051256 0.31274989 0.09792706 0.15881049]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20111537 0.33211276 0.20566412 0.26110775]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08643782 0.64183449 0.12662403 0.14510366]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22270418 0.58774843 0.18954739]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.27218498 0.44947387 0.27834115 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27478988 0.72521012 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24133484 0.         0.35353496 0.40513019]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77011929 0.09643872 0.133442  ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09514333 0.06741219 0.13607387 0.7013706 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.41951634 0.58048366]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.49440883 0.         0.50559117 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37331461 0.         0.         0.62668539]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47724806 0.34670133 0.         0.17605061]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63182171 0.22789458 0.         0.14028371]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3564045  0.22252933 0.22913246 0.19193372 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09784737 0.57907344 0.22931006 0.09376912]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.44616765 0.55383235]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61897886 0.         0.38102114]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23245712 0.         0.54477452 0.22276837]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.46234207 0.28867389 0.         0.24898404 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31860003 0.22573863 0.45566134 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26398671 0.50634394 0.22966936]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58529745 0.41470255 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20976819 0.16476224 0.62546956]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53475836 0.         0.46524164]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53690994 0.         0.46309006 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.25114788 0.         0.74885212]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57922011 0.42077989 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.70976427 0.29023573]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17403361 0.10866188 0.11188621 0.09372193 0.51169639]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33633748 0.12131506 0.46767027 0.07467719]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24293687 0.33777707 0.41928605]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09784737 0.57907344 0.22931006 0.09376912]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36685059 0.         0.63314941]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43051256 0.31274989 0.09792706 0.15881049]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63182171 0.22789458 0.         0.14028371]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.62642778 0.         0.14249115 0.23108107]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20976819 0.16476224 0.62546956]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.38142866 0.61857134]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20111537 0.33211276 0.20566412 0.26110775]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81831016 0.         0.         0.18168984]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3564045  0.22252933 0.22913246 0.19193372 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09514333 0.06741219 0.13607387 0.7013706 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77011929 0.09643872 0.133442  ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31860003 0.22573863 0.45566134 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56008316 0.43991684 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.41148899 0.         0.58851101 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26398671 0.50634394 0.22966936]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34269272 0.65730728 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34575961 0.35601936 0.29822103 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.54417209 0.45582791 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23245712 0.         0.54477452 0.22276837]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22270418 0.58774843 0.18954739]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08643782 0.64183449 0.12662403 0.14510366]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54021426 0.         0.45978574]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.41572055 0.25743907 0.32684038]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24133484 0.         0.35353496 0.40513019]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.61756608 0.38243392 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.5106417 0.        0.        0.4893583]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40569355 0.         0.59430645 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.41951634 0.58048366]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
Iteration 62, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15727252 0.09478901 0.09139504 0.10469378 0.55184965]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09522261 0.06331102 0.13702672 0.70443965]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77845914 0.09201519 0.12952567]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09338241 0.63719233 0.13098981 0.13843546]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21953904 0.58231262 0.19814834]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12278735 0.5345768  0.23455941 0.10807645]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35372155 0.11939814 0.44830681 0.0785735 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21036374 0.34525386 0.4443824 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64115627 0.21642126 0.         0.14242246]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41429099 0.31983156 0.09815563 0.16772182]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37861245 0.62138755 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13766577 0.59935271 0.26298151 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60910058 0.         0.14431077 0.24658865]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19688935 0.16424346 0.63886719]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29454734 0.48586817 0.21958449]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.11247884 0.10845148 0.12423207 0.65483761]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81824103 0.         0.         0.18175897]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32587223 0.31420422 0.35992355 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25738818 0.         0.36104475 0.38156707]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8573482 0.        0.1426518]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32217655 0.21420675 0.4636167  0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.23558219 0.         0.76441781]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36917621 0.63082379]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18281515 0.30725733 0.23798694 0.27194058]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40282661 0.         0.         0.59717339]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.50911455 0.49088545 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.6887325 0.3112675]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.41000167 0.         0.58999833 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.3436084 0.        0.6563916 0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.74611371 0.25388629]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25109922 0.42202233 0.32687845 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4344445 0.        0.5655555 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15727252 0.09478901 0.09139504 0.10469378 0.55184965]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09522261 0.06331102 0.13702672 0.70443965]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77845914 0.09201519 0.12952567]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09338241 0.63719233 0.13098981 0.13843546]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21953904 0.58231262 0.19814834]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18281515 0.30725733 0.23798694 0.27194058]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8573482 0.        0.1426518]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32217655 0.21420675 0.4636167  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.11247884 0.10845148 0.12423207 0.65483761]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29454734 0.48586817 0.21958449]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19688935 0.16424346 0.63886719]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41429099 0.31983156 0.09815563 0.16772182]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35372155 0.11939814 0.44830681 0.0785735 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21036374 0.34525386 0.4443824 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12278735 0.5345768  0.23455941 0.10807645]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32129054 0.         0.67870946]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49777947 0.38428444 0.11793608 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54519929 0.45480071 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.37742374 0.62257626 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31602145 0.68397855 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.12219594 0.13997646 0.7378276 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64115627 0.21642126 0.         0.14242246]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.46609001 0.53390999 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25738818 0.         0.36104475 0.38156707]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23991078 0.40321793 0.         0.35687129]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40282661 0.         0.         0.59717339]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26381871 0.         0.50397016 0.23221113]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2737901 0.7262099 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37303697 0.62696303 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.76517072 0.23482928 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60310728 0.         0.39689272]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.53186056 0.         0.         0.46813944]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15727252 0.09478901 0.09139504 0.10469378 0.55184965]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35372155 0.11939814 0.44830681 0.0785735 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35093697 0.21151162 0.20393834 0.23361307 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29454734 0.48586817 0.21958449]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09522261 0.06331102 0.13702672 0.70443965]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77845914 0.09201519 0.12952567]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32217655 0.21420675 0.4636167  0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19688935 0.16424346 0.63886719]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41429099 0.31983156 0.09815563 0.16772182]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54519929 0.45480071 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.41000167 0.         0.58999833 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57290237 0.         0.42709763]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44507563 0.         0.2586447  0.29627966 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.46609001 0.53390999 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12278735 0.5345768  0.23455941 0.10807645]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09338241 0.63719233 0.13098981 0.13843546]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18281515 0.30725733 0.23798694 0.27194058]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10838701 0.73957585 0.15203714 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21953904 0.58231262 0.19814834]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41619417 0.         0.58380583 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.41534184 0.58465816]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25109922 0.42202233 0.32687845 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52560612 0.         0.47439388]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.60940389 0.26739173 0.12320439]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21036374 0.34525386 0.4443824 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18474721 0.69367439 0.1215784 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37861245 0.62138755 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.5460588  0.16758429 0.28635691]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68457344 0.31542656]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4344445 0.        0.5655555 0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36917621 0.63082379]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60310728 0.         0.39689272]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15727252 0.09478901 0.09139504 0.10469378 0.55184965]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12278735 0.5345768  0.23455941 0.10807645]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21036374 0.34525386 0.4443824 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35372155 0.11939814 0.44830681 0.0785735 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37861245 0.62138755 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26381871 0.         0.50397016 0.23221113]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21953904 0.58231262 0.19814834]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18281515 0.30725733 0.23798694 0.27194058]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77845914 0.09201519 0.12952567]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09522261 0.06331102 0.13702672 0.70443965]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.41534184 0.58465816]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23991078 0.40321793 0.         0.35687129]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09338241 0.63719233 0.13098981 0.13843546]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2737901 0.7262099 0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.53186056 0.         0.         0.46813944]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1730923  0.10432367 0.         0.11522475 0.60735927]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64115627 0.21642126 0.         0.14242246]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44084144 0.26569754 0.         0.29346102 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32217655 0.21420675 0.4636167  0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19688935 0.16424346 0.63886719]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29454734 0.48586817 0.21958449]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47517387 0.         0.52482613 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.6887325 0.3112675]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.23558219 0.         0.76441781]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41429099 0.31983156 0.09815563 0.16772182]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60310728 0.         0.39689272]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49777947 0.38428444 0.11793608 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.41000167 0.         0.58999833 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25738818 0.         0.36104475 0.38156707]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.48618233 0.51381767]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37303697 0.62696303 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.76517072 0.23482928 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15727252 0.09478901 0.09139504 0.10469378 0.55184965]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29454734 0.48586817 0.21958449]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17374129 0.         0.10096546 0.11565677 0.60963648]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35372155 0.11939814 0.44830681 0.0785735 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41429099 0.31983156 0.09815563 0.16772182]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21036374 0.34525386 0.4443824 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40168158 0.         0.50909137 0.08922705]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44507563 0.         0.2586447  0.29627966 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09338241 0.63719233 0.13098981 0.13843546]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21953904 0.58231262 0.19814834]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25738818 0.         0.36104475 0.38156707]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18281515 0.30725733 0.23798694 0.27194058]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60910058 0.         0.14431077 0.24658865]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.        0.8508703 0.1491297]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37861245 0.62138755 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12278735 0.5345768  0.23455941 0.10807645]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52560612 0.         0.47439388]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.37599489 0.29122779 0.33277732]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16041395 0.69839097 0.         0.14119508]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80845687 0.         0.19154313 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19688935 0.16424346 0.63886719]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46670738 0.53329262]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77845914 0.09201519 0.12952567]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09522261 0.06331102 0.13702672 0.70443965]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.41534184 0.58465816]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41619417 0.         0.58380583 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.63246095 0.         0.36753905 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.53186056 0.         0.         0.46813944]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32217655 0.21420675 0.4636167  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54519929 0.45480071 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31602145 0.68397855 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.6887325 0.3112675]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
Iteration 63, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17052069 0.09848632 0.1027899  0.1055868  0.5226163 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34445023 0.11253559 0.47537627 0.06763791]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12482918 0.52616926 0.22841087 0.1205907 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36943826 0.12069945 0.50986229 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35719839 0.20630431 0.21531925 0.22117805 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08786045 0.63421087 0.1310559  0.14687278]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21769315 0.57888678 0.20342008]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24019427 0.         0.35828265 0.40152307]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78480035 0.08151099 0.13368865]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09904262 0.06323232 0.14987037 0.68785468]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45863935 0.26489278 0.27646787 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.07018347 0.16634569 0.76347084]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.37876918 0.62123082]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18188288 0.28654815 0.24665077 0.28491819]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37429917 0.         0.         0.62570083]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25435255 0.4007208  0.34492665 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39274105 0.30845212 0.09439112 0.20441571]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21472778 0.34028955 0.44498267]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19141575 0.80858425 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38688482 0.61311518 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14194662 0.59832123 0.25973215 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56791592 0.         0.13649253 0.29559155]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19420796 0.15326117 0.65253087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31589344 0.68410656]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.53741322 0.46258678 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51694683 0.         0.48305317]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.35338342 0.         0.64661658 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48930927 0.51069073 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28016014 0.49345155 0.2263883 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.29672228 0.70327772 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5530767 0.        0.4469233]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55892149 0.44107851 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17052069 0.09848632 0.1027899  0.1055868  0.5226163 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34445023 0.11253559 0.47537627 0.06763791]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21472778 0.34028955 0.44498267]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12482918 0.52616926 0.22841087 0.1205907 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32548792 0.         0.67451208]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65656623 0.21450724 0.         0.12892652]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35719839 0.20630431 0.21531925 0.22117805 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08786045 0.63421087 0.1310559  0.14687278]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21769315 0.57888678 0.20342008]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24019427 0.         0.35828265 0.40152307]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18188288 0.28654815 0.24665077 0.28491819]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39274105 0.30845212 0.09439112 0.20441571]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19420796 0.15326117 0.65253087]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28016014 0.49345155 0.2263883 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09904262 0.06323232 0.14987037 0.68785468]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78480035 0.08151099 0.13368865]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31729652 0.20257333 0.48013014 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5530767 0.        0.4469233]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45863935 0.26489278 0.27646787 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22935993 0.         0.77064007]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50794166 0.155438   0.33662033]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31589344 0.68410656]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62459568 0.         0.37540432]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.35025322 0.3014859  0.34826089]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.37876918 0.62123082]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40134257 0.         0.59865743 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.6239081 0.        0.3760919 0.        0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61033837 0.38966163 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26344677 0.         0.48205161 0.25450163]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51694683 0.         0.48305317]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50863517 0.         0.         0.49136483]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.50142612 0.         0.49857388]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17052069 0.09848632 0.1027899  0.1055868  0.5226163 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28016014 0.49345155 0.2263883 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09904262 0.06323232 0.14987037 0.68785468]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78480035 0.08151099 0.13368865]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31729652 0.20257333 0.48013014 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18914931 0.         0.11401923 0.11712168 0.57970978]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12482918 0.52616926 0.22841087 0.1205907 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21472778 0.34028955 0.44498267]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34445023 0.11253559 0.47537627 0.06763791]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21349144 0.         0.         0.13219438 0.65431418]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08786045 0.63421087 0.1310559  0.14687278]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21769315 0.57888678 0.20342008]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18188288 0.28654815 0.24665077 0.28491819]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39274105 0.30845212 0.09439112 0.20441571]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17166597 0.72515664 0.10317739]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38688482 0.61311518 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49365109 0.38770514 0.11864377 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19420796 0.15326117 0.65253087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.76568772 0.23431228 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.35025322 0.3014859  0.34826089]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27328475 0.72671525 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26344677 0.         0.48205161 0.25450163]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24019427 0.         0.35828265 0.40152307]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24601297 0.         0.         0.         0.75398703]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62459568 0.         0.37540432]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50863517 0.         0.         0.49136483]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.29672228 0.70327772 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5530767 0.        0.4469233]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55892149 0.44107851 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.37876918 0.62123082]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46400522 0.53599478]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47154508 0.52845492]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17052069 0.09848632 0.1027899  0.1055868  0.5226163 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09904262 0.06323232 0.14987037 0.68785468]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78480035 0.08151099 0.13368865]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31729652 0.20257333 0.48013014 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28016014 0.49345155 0.2263883 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61033837 0.38966163 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19420796 0.15326117 0.65253087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39274105 0.30845212 0.09439112 0.20441571]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21472778 0.34028955 0.44498267]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56791592 0.         0.13649253 0.29559155]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55892149 0.44107851 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.1187327  0.12392099 0.12729286 0.63005345]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34445023 0.11253559 0.47537627 0.06763791]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.4333396 0.5666604]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65656623 0.21450724 0.         0.12892652]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32094555 0.33496999 0.34408447 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08786045 0.63421087 0.1310559  0.14687278]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21769315 0.57888678 0.20342008]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24019427 0.         0.35828265 0.40152307]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.37876918 0.62123082]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18188288 0.28654815 0.24665077 0.28491819]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51694683 0.         0.48305317]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12482918 0.52616926 0.22841087 0.1205907 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62459568 0.         0.37540432]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14194662 0.59832123 0.25973215 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.35338342 0.         0.64661658 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48930927 0.51069073 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25493365 0.         0.34571467 0.39935168]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37429917 0.         0.         0.62570083]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5530767 0.        0.4469233]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38963681 0.         0.         0.61036319]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31589344 0.68410656]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17052069 0.09848632 0.1027899  0.1055868  0.5226163 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34445023 0.11253559 0.47537627 0.06763791]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21472778 0.34028955 0.44498267]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12482918 0.52616926 0.22841087 0.1205907 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32548792 0.         0.67451208]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65656623 0.21450724 0.         0.12892652]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35719839 0.20630431 0.21531925 0.22117805 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09904262 0.06323232 0.14987037 0.68785468]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32094555 0.33496999 0.34408447 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08786045 0.63421087 0.1310559  0.14687278]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21769315 0.57888678 0.20342008]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18188288 0.28654815 0.24665077 0.28491819]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78480035 0.08151099 0.13368865]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.07018347 0.16634569 0.76347084]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.37876918 0.62123082]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24019427 0.         0.35828265 0.40152307]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24143236 0.38036563 0.         0.37820201]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39274105 0.30845212 0.09439112 0.20441571]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19420796 0.15326117 0.65253087]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28016014 0.49345155 0.2263883 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22935993 0.         0.77064007]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50794166 0.155438   0.33662033]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31589344 0.68410656]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.50142612 0.         0.49857388]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27328475 0.72671525 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26344677 0.         0.48205161 0.25450163]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.62459568 0.         0.37540432]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.35338342 0.         0.64661658 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40134257 0.         0.59865743 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48930927 0.51069073 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36214569 0.63785431 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.29672228 0.70327772 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
Iteration 64, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17139782 0.13511842 0.12004336 0.10582315 0.46761725]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12649001 0.56464145 0.2079574  0.10091114]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20144287 0.36914977 0.42940736]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29054215 0.         0.47766927 0.23178857]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19477985 0.15355122 0.         0.12025951 0.53140943]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34554803 0.11288468 0.46978459 0.0717827 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31931964 0.         0.68068036]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65171253 0.21290343 0.         0.13538404]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.67328774 0.32671226]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75375954 0.24624046 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41567172 0.32768738 0.         0.2566409  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08957222 0.66704677 0.11373988 0.12964113]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55918023 0.44081977 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28769898 0.49657899 0.21572203]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10070045 0.06208653 0.13444058 0.70277244]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76189562 0.09671509 0.14138929]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33879918 0.2088855  0.45231533 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57148783 0.         0.42851217]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61860263 0.38139737 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.73267401 0.12493015 0.14239584]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24397826 0.5585177  0.19750404]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18126932 0.28657294 0.22634357 0.30581417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.46733259 0.53266741]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26112507 0.41281877 0.32605616 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40234917 0.28853396 0.11161605 0.19750081]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50137019 0.35954424 0.13908557 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.55871265 0.44128735 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.40618778 0.59381222]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.30402428 0.69597572 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21132877 0.16443267 0.62423856]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58236937 0.41763063 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56240143 0.43759857 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17139782 0.13511842 0.12004336 0.10582315 0.46761725]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34554803 0.11288468 0.46978459 0.0717827 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12649001 0.56464145 0.2079574  0.10091114]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24397826 0.5585177  0.19750404]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18126932 0.28657294 0.22634357 0.30581417]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76189562 0.09671509 0.14138929]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10070045 0.06208653 0.13444058 0.70277244]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.40618778 0.59381222]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08957222 0.66704677 0.11373988 0.12964113]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.30402428 0.69597572 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26902344 0.         0.34160917 0.38936739]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32194473 0.25379939 0.22548319 0.19877269 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33879918 0.2088855  0.45231533 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21132877 0.16443267 0.62423856]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42825555 0.         0.57174445 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28769898 0.49657899 0.21572203]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.        0.2084933 0.7915067]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40234917 0.28853396 0.11161605 0.19750081]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20144287 0.36914977 0.42940736]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37227062 0.1216145  0.50611488 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35304148 0.64695852 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15970102 0.71289278 0.         0.1274062 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56552126 0.         0.15688177 0.27759696]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23430209 0.3704137  0.         0.39528421]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.67074966 0.         0.         0.32925034]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36683292 0.63316708 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.37430487 0.33254396 0.29315117 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.53147923 0.46852077 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.46733259 0.53266741]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.48375958 0.         0.51624042]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.55624174 0.         0.         0.44375826]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75375954 0.24624046 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17139782 0.13511842 0.12004336 0.10582315 0.46761725]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10070045 0.06208653 0.13444058 0.70277244]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76189562 0.09671509 0.14138929]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33879918 0.2088855  0.45231533 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.1630679  0.14487454 0.12771286 0.56434471]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34554803 0.11288468 0.46978459 0.0717827 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.37430487 0.33254396 0.29315117 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12649001 0.56464145 0.2079574  0.10091114]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20144287 0.36914977 0.42940736]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29054215 0.         0.47766927 0.23178857]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24397826 0.5585177  0.19750404]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18126932 0.28657294 0.22634357 0.30581417]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.30402428 0.69597572 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.55624174 0.         0.         0.44375826]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17248734 0.71782897 0.10968369]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31931964 0.         0.68068036]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61128651 0.         0.38871349]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40234917 0.28853396 0.11161605 0.19750081]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21132877 0.16443267 0.62423856]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31591839 0.68408161 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28769898 0.49657899 0.21572203]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.        0.2084933 0.7915067]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48278015 0.18675797 0.33046188]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.56079329 0.         0.43920671 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08957222 0.66704677 0.11373988 0.12964113]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26902344 0.         0.34160917 0.38936739]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36683292 0.63316708 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.40618778 0.59381222]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25408248 0.         0.31726238 0.42865514]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.72106447 0.27893553 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.42533172 0.57466828]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.46733259 0.53266741]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17139782 0.13511842 0.12004336 0.10582315 0.46761725]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34554803 0.11288468 0.46978459 0.0717827 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20144287 0.36914977 0.42940736]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65171253 0.21290343 0.         0.13538404]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32194473 0.25379939 0.22548319 0.19877269 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08957222 0.66704677 0.11373988 0.12964113]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24397826 0.5585177  0.19750404]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12649001 0.56464145 0.2079574  0.10091114]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.73875878 0.26124122]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18126932 0.28657294 0.22634357 0.30581417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26902344 0.         0.34160917 0.38936739]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26112507 0.41281877 0.32605616 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44056513 0.         0.55943487 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76189562 0.09671509 0.14138929]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.44470949 0.         0.55529051 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40234917 0.28853396 0.11161605 0.19750081]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21132877 0.16443267 0.62423856]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28769898 0.49657899 0.21572203]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10070045 0.06208653 0.13444058 0.70277244]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88735863 0.11264137 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40181448 0.31676328 0.28142224 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33879918 0.2088855  0.45231533 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57148783 0.         0.42851217]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.5295402 0.4704598 0.        0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.25291651 0.         0.74708349]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48278015 0.18675797 0.33046188]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61128651 0.         0.38871349]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15970102 0.71289278 0.         0.1274062 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35304148 0.64695852 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.72106447 0.27893553 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.55624174 0.         0.         0.44375826]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61860263 0.38139737 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17139782 0.13511842 0.12004336 0.10582315 0.46761725]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34554803 0.11288468 0.46978459 0.0717827 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20144287 0.36914977 0.42940736]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12649001 0.56464145 0.2079574  0.10091114]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65171253 0.21290343 0.         0.13538404]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32194473 0.25379939 0.22548319 0.19877269 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14068688 0.62801518 0.23129794 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24397826 0.5585177  0.19750404]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08957222 0.66704677 0.11373988 0.12964113]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76189562 0.09671509 0.14138929]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10070045 0.06208653 0.13444058 0.70277244]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.40618778 0.59381222]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10106764 0.75265349 0.         0.14627887]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5526343 0.        0.4473657]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18126932 0.28657294 0.22634357 0.30581417]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18301874 0.81698126 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41567172 0.32768738 0.         0.2566409  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28769898 0.49657899 0.21572203]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21132877 0.16443267 0.62423856]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40234917 0.28853396 0.11161605 0.19750081]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25408248 0.         0.31726238 0.42865514]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4529001 0.3247852 0.        0.2223147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61128651 0.         0.38871349]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31931964 0.         0.68068036]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58236937 0.41763063 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56240143 0.43759857 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33879918 0.2088855  0.45231533 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36683292 0.63316708 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61827148 0.         0.         0.38172852 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42825555 0.         0.57174445 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40860751 0.         0.         0.59139249]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.42533172 0.57466828]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 65, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17666511 0.13457528 0.10420048 0.11439062 0.47016852]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12459466 0.53647647 0.22595307 0.11297581]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21984757 0.34913756 0.43101487]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32882717 0.12123719 0.47435331 0.07558233]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19721501 0.15022924 0.         0.12769667 0.52485909]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24682904 0.54509676 0.2080742 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08546928 0.05689512 0.13293034 0.72470526]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77790157 0.10840616 0.11369226]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31046463 0.20666984 0.48286553 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19004075 0.14863301 0.66132624]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39862337 0.28529121 0.12635361 0.18973181]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18549918 0.26587762 0.21517615 0.33344705]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45627542 0.32655227 0.         0.21717231]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38638544 0.61361456 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.67752165 0.         0.         0.32247835]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56113219 0.43886781 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39134353 0.         0.60865647 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5425968 0.        0.4574032]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23208025 0.         0.         0.1502719  0.61764785]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18063483 0.70675285 0.11261232]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.268799   0.         0.48746838 0.24373262]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60698036 0.         0.         0.39301964 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08594798 0.62611003 0.14194378 0.14599822]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24732856 0.56700948 0.18566196]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22987505 0.         0.3796405  0.39048444]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.32643015 0.26418162 0.40938823]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37714387 0.         0.62285613 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61598153 0.         0.38401847]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.        0.        0.6666681 0.3333319]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5712101 0.        0.4287899]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48809965 0.51190035]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.55269834 0.44730166 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17666511 0.13457528 0.10420048 0.11439062 0.47016852]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08546928 0.05689512 0.13293034 0.72470526]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77790157 0.10840616 0.11369226]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31046463 0.20666984 0.48286553 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.16345145 0.12655905 0.13893571 0.5710538 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32882717 0.12123719 0.47435331 0.07558233]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21984757 0.34913756 0.43101487]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12459466 0.53647647 0.22595307 0.11297581]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33777886 0.         0.66222114]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6255669  0.23064387 0.         0.14378923]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.38105349 0.29504643 0.32390008 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08594798 0.62611003 0.14194378 0.14599822]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24732856 0.56700948 0.18566196]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22987505 0.         0.3796405  0.39048444]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48809965 0.51190035]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18549918 0.26587762 0.21517615 0.33344705]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37055136 0.         0.         0.62944864]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.27829625 0.39888447 0.32281928 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.56360528 0.43639472 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.268799   0.         0.48746838 0.24373262]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5712101 0.        0.4287899]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.5244535 0.        0.        0.4755465]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61598153 0.         0.38401847]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39862337 0.28529121 0.12635361 0.18973181]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19004075 0.14863301 0.66132624]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24682904 0.54509676 0.2080742 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.72373577 0.27626423]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.29972333 0.70027667 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22321836 0.         0.77678164]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4743969  0.21010729 0.31549581]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41096304 0.58903696 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.60058397 0.         0.39941603]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17666511 0.13457528 0.10420048 0.11439062 0.47016852]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08594798 0.62611003 0.14194378 0.14599822]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24732856 0.56700948 0.18566196]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12459466 0.53647647 0.22595307 0.11297581]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21984757 0.34913756 0.43101487]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.268799   0.         0.48746838 0.24373262]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75332933 0.24667067]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22987505 0.         0.3796405  0.39048444]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18549918 0.26587762 0.21517615 0.33344705]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77790157 0.10840616 0.11369226]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08546928 0.05689512 0.13293034 0.72470526]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48809965 0.51190035]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23635773 0.33877362 0.         0.42486865]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39862337 0.28529121 0.12635361 0.18973181]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19004075 0.14863301 0.66132624]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4743969  0.21010729 0.31549581]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32882717 0.12123719 0.47435331 0.07558233]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33777886 0.         0.66222114]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6255669  0.23064387 0.         0.14378923]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.5244535 0.        0.        0.4755465]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19948424 0.15195783 0.11765964 0.         0.5308983 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24682904 0.54509676 0.2080742 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31046463 0.20666984 0.48286553 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5425968 0.        0.4574032]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23522915 0.         0.13874267 0.         0.62602818]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.73062255 0.26937745 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.69305186 0.30694814 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.44362869 0.         0.55637131]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37714387 0.         0.62285613 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62900233 0.         0.37099767 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60035571 0.39964429 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56113219 0.43886781 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17666511 0.13457528 0.10420048 0.11439062 0.47016852]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32882717 0.12123719 0.47435331 0.07558233]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33343642 0.25399638 0.19666721 0.2159     0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24682904 0.54509676 0.2080742 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44696354 0.         0.26362768 0.28940878 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08546928 0.05689512 0.13293034 0.72470526]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77790157 0.10840616 0.11369226]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31046463 0.20666984 0.48286553 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.47669132 0.52330868 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08594798 0.62611003 0.14194378 0.14599822]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12459466 0.53647647 0.22595307 0.11297581]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21984757 0.34913756 0.43101487]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39862337 0.28529121 0.12635361 0.18973181]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19004075 0.14863301 0.66132624]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4743969  0.21010729 0.31549581]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18063483 0.70675285 0.11261232]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.268799   0.         0.48746838 0.24373262]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20355797 0.79644203 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.4475248 0.5524752]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.69305186 0.30694814 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.35542852 0.         0.64457148 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24732856 0.56700948 0.18566196]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.68498292 0.1552907  0.15972638]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5712101 0.        0.4287899]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18549918 0.26587762 0.21517615 0.33344705]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.49295962 0.50704038]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.27829625 0.39888447 0.32281928 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48809965 0.51190035]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41096304 0.58903696 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.29972333 0.70027667 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56113219 0.43886781 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.72373577 0.27626423]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17666511 0.13457528 0.10420048 0.11439062 0.47016852]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32882717 0.12123719 0.47435331 0.07558233]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33343642 0.25399638 0.19666721 0.2159     0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08546928 0.05689512 0.13293034 0.72470526]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77790157 0.10840616 0.11369226]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31046463 0.20666984 0.48286553 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24682904 0.54509676 0.2080742 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.38105349 0.29504643 0.32390008 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12459466 0.53647647 0.22595307 0.11297581]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21984757 0.34913756 0.43101487]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18063483 0.70675285 0.11261232]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38638544 0.61361456 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.268799   0.         0.48746838 0.24373262]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24732856 0.56700948 0.18566196]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08594798 0.62611003 0.14194378 0.14599822]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5712101 0.        0.4287899]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18549918 0.26587762 0.21517615 0.33344705]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.5244535 0.        0.        0.4755465]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.       0.540537 0.       0.459463 0.      ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22987505 0.         0.3796405  0.39048444]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48809965 0.51190035]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25268156 0.         0.29310664 0.4542118 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37055136 0.         0.         0.62944864]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.46296632 0.         0.53703368 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39862337 0.28529121 0.12635361 0.18973181]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61598153 0.         0.38401847]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49196473 0.35209479 0.15594048 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19004075 0.14863301 0.66132624]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.72373577 0.27626423]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60035571 0.39964429 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22321836 0.         0.77678164]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.69305186 0.30694814 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 66, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19133246 0.12644519 0.11929395 0.10942772 0.45350068]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27881389 0.52298376 0.19820236]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.085054   0.05397154 0.12854997 0.73242449]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21902742 0.         0.13656149 0.12526715 0.51914394]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36657871 0.12292296 0.43318648 0.07731184]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20199028 0.3350733  0.46293641]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64673601 0.21686667 0.         0.13639732]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45549477 0.         0.28399661 0.26050863 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.05898877 0.14050006 0.80051117]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616456 0.15570572 0.65812972]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.         0.14930753 0.85069247]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.58449558 0.         0.41550442]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19132335 0.80867665]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.52156818 0.47843182 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08918133 0.61837146 0.14302701 0.1494202 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12406671 0.50791795 0.25607422 0.11194113]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23177624 0.57554009 0.19268367]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.6789183  0.15703127 0.16405043]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1624018  0.29996629 0.25457975 0.28305217]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76752343 0.11490206 0.11757451]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0. 1.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49425221 0.50574779]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21786609 0.40241231 0.         0.3797216 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.81215222 0.18784778 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54604978 0.         0.45395022]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3512392 0.6487608 0.        0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39973682 0.28582189 0.11402052 0.20042077]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37610124 0.62389876 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16677296 0.68275352 0.         0.15047351]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55971587 0.         0.15965277 0.28063135]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61389409 0.         0.38610591]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77806543 0.         0.22193457 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.52568894 0.         0.         0.47431106]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19133246 0.12644519 0.11929395 0.10942772 0.45350068]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36657871 0.12292296 0.43318648 0.07731184]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20199028 0.3350733  0.46293641]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12406671 0.50791795 0.25607422 0.11194113]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23177624 0.57554009 0.19268367]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08918133 0.61837146 0.14302701 0.1494202 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54604978 0.         0.45395022]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1624018  0.29996629 0.25457975 0.28305217]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23368622 0.         0.3747807  0.39153309]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22651829 0.41839346 0.35508825 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16677296 0.68275352 0.         0.15047351]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30377827 0.         0.69622173]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64673601 0.21686667 0.         0.13639732]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39973682 0.28582189 0.11402052 0.20042077]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616456 0.15570572 0.65812972]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.47616096 0.18995088 0.33388816]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36261306 0.63738694]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.8258313 0.        0.        0.1741687]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35010558 0.231373   0.21828746 0.20023396 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.52568894 0.         0.         0.47431106]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44786997 0.2959822  0.         0.25614782 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27881389 0.52298376 0.19820236]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.085054   0.05397154 0.12854997 0.73242449]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.58449558 0.         0.41550442]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54454736 0.45545264 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.63616286 0.         0.         0.36383714 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38405739 0.         0.61594261 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09760055 0.06193303 0.         0.84046642]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76752343 0.11490206 0.11757451]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86716214 0.         0.13283786]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61178688 0.38821312 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38946998 0.         0.61053002 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19133246 0.12644519 0.11929395 0.10942772 0.45350068]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36657871 0.12292296 0.43318648 0.07731184]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35010558 0.231373   0.21828746 0.20023396 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12406671 0.50791795 0.25607422 0.11194113]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20199028 0.3350733  0.46293641]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19406194 0.68388368 0.12205438]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39973682 0.28582189 0.11402052 0.20042077]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37610124 0.62389876 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25212606 0.         0.52038926 0.22748468]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23177624 0.57554009 0.19268367]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08918133 0.61837146 0.14302701 0.1494202 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44786997 0.2959822  0.         0.25614782 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.6789183  0.15703127 0.16405043]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1624018  0.29996629 0.25457975 0.28305217]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.81215222 0.18784778 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76752343 0.11490206 0.11757451]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.085054   0.05397154 0.12854997 0.73242449]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49425221 0.50574779]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22651829 0.41839346 0.35508825 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55971587 0.         0.15965277 0.28063135]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.84855613 0.15144387]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.52568894 0.         0.         0.47431106]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77806543 0.         0.22193457 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616456 0.15570572 0.65812972]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54092224 0.45907776 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54604978 0.         0.45395022]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.6020954 0.3979046 0.        0.        0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31786916 0.20170583 0.48042502 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54454736 0.45545264 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27881389 0.52298376 0.19820236]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39818549 0.         0.60181451 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.58449558 0.         0.41550442]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19133246 0.12644519 0.11929395 0.10942772 0.45350068]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36657871 0.12292296 0.43318648 0.07731184]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35010558 0.231373   0.21828746 0.20023396 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08918133 0.61837146 0.14302701 0.1494202 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76752343 0.11490206 0.11757451]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1624018  0.29996629 0.25457975 0.28305217]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39973682 0.28582189 0.11402052 0.20042077]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616456 0.15570572 0.65812972]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27881389 0.52298376 0.19820236]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.085054   0.05397154 0.12854997 0.73242449]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22049724 0.         0.77950276]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.47616096 0.18995088 0.33388816]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20199028 0.3350733  0.46293641]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12406671 0.50791795 0.25607422 0.11194113]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30377827 0.         0.69622173]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19406194 0.68388368 0.12205438]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36261306 0.63738694]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.35812671 0.30394018 0.33793311]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23177624 0.57554009 0.19268367]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10406551 0.72157637 0.         0.17435812]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43775999 0.28930086 0.27293915 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.58449558 0.         0.41550442]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61595684 0.         0.38404316 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08990639 0.         0.13588383 0.77420978]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86978837 0.13021163 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39818549 0.         0.60181451 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25212606 0.         0.52038926 0.22748468]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54604978 0.         0.45395022]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.52568894 0.         0.         0.47431106]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61389409 0.         0.38610591]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.47352053 0.52647947]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.80538966 0.         0.19461034]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19133246 0.12644519 0.11929395 0.10942772 0.45350068]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12406671 0.50791795 0.25607422 0.11194113]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20199028 0.3350733  0.46293641]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25212606 0.         0.52038926 0.22748468]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21724894 0.14357252 0.         0.12425    0.51492854]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.085054   0.05397154 0.12854997 0.73242449]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76752343 0.11490206 0.11757451]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31786916 0.20170583 0.48042502 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.18342041 0.         0.15873501 0.65784458]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36657871 0.12292296 0.43318648 0.07731184]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53607337 0.         0.46392663 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27881389 0.52298376 0.19820236]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.29569962 0.70430038 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.58449558 0.         0.41550442]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08918133 0.61837146 0.14302701 0.1494202 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1624018  0.29996629 0.25457975 0.28305217]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10484769 0.72699994 0.16815237 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23177624 0.57554009 0.19268367]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22651829 0.41839346 0.35508825 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2870947 0.7129053 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38405739 0.         0.61594261 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69582484 0.30417516]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19406194 0.68388368 0.12205438]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30377827 0.         0.69622173]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61389409 0.         0.38610591]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39973682 0.28582189 0.11402052 0.20042077]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616456 0.15570572 0.65812972]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.47616096 0.18995088 0.33388816]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36261306 0.63738694]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38946998 0.         0.61053002 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49425221 0.50574779]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54454736 0.45545264 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
Iteration 67, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18770878 0.11335233 0.12216767 0.09952589 0.47724533]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25582979 0.52598681 0.2181834 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21170616 0.         0.13778604 0.11224965 0.53825815]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32660712 0.11382993 0.4889575  0.07060544]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25890368 0.29684652 0.4442498 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63909973 0.22274064 0.         0.13815963]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45849464 0.         0.29840492 0.24310044 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10384366 0.54573718 0.24972106 0.10069811]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.46586341 0.53413659 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42441916 0.3032854  0.10333719 0.16895825]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22016346 0.16523087 0.61460567]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0776928  0.06241056 0.12571841 0.73417824]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78427102 0.10849709 0.10723189]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29227404 0.23478347 0.47294248 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.65350321 0.         0.         0.34649679 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33174348 0.66825652 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.21187885 0.78812115]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.5269206  0.17953549 0.29354391]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61718058 0.         0.38281942]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74586462 0.25413538 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22859819 0.         0.54972814 0.22167367]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08835647 0.64367742 0.12387412 0.14409199]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24111839 0.5635713  0.19531031]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17201131 0.30217174 0.25720077 0.26861618]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24796765 0.         0.34764599 0.40438636]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50293237 0.49706763]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23518611 0.4131507  0.35166319 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38011209 0.         0.         0.61988791]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36275298 0.63724702 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.29964146 0.70035854 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.71263527 0.28736473]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.70680982 0.29319018]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18770878 0.11335233 0.12216767 0.09952589 0.47724533]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25582979 0.52598681 0.2181834 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0776928  0.06241056 0.12571841 0.73417824]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78427102 0.10849709 0.10723189]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29227404 0.23478347 0.47294248 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21170616 0.         0.13778604 0.11224965 0.53825815]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10384366 0.54573718 0.24972106 0.10069811]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25890368 0.29684652 0.4442498 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32660712 0.11382993 0.4889575  0.07060544]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.46586341 0.53413659 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42441916 0.3032854  0.10333719 0.16895825]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22859819 0.         0.54972814 0.22167367]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63909973 0.22274064 0.         0.13815963]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24553785 0.         0.         0.1301877  0.62427445]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61718058 0.         0.38281942]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6091722  0.         0.14832069 0.24250712]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17201131 0.30217174 0.25720077 0.26861618]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.71526006 0.         0.         0.28473994]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22016346 0.16523087 0.61460567]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33174348 0.66825652 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.21187885 0.78812115]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53971028 0.         0.46028972]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29370481 0.         0.70629519 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24111839 0.5635713  0.19531031]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08835647 0.64367742 0.12387412 0.14409199]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50293237 0.49706763]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.36494669 0.31063319 0.32442011]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10084906 0.734686   0.         0.16446494]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.65350321 0.         0.         0.34649679 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.81708862 0.         0.18291138]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5524806 0.        0.4475194]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.52939406 0.         0.47060594]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18770878 0.11335233 0.12216767 0.09952589 0.47724533]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32660712 0.11382993 0.4889575  0.07060544]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10384366 0.54573718 0.24972106 0.10069811]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25890368 0.29684652 0.4442498 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42441916 0.3032854  0.10333719 0.16895825]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22016346 0.16523087 0.61460567]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.5269206  0.17953549 0.29354391]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40055052 0.59944948]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35141924 0.12247751 0.52610325 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35907623 0.21683657 0.23369982 0.19038738 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0776928  0.06241056 0.12571841 0.73417824]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78427102 0.10849709 0.10723189]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29227404 0.23478347 0.47294248 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25582979 0.52598681 0.2181834 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55453918 0.44546082 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.33831882 0.36462967 0.29705151 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53971028 0.         0.46028972]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.        0.5510655 0.4489345 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08835647 0.64367742 0.12387412 0.14409199]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24111839 0.5635713  0.19531031]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22859819 0.         0.54972814 0.22167367]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18883926 0.81116074 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37950393 0.62049607]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29370481 0.         0.70629519 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.74263402 0.25736598]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24796765 0.         0.34764599 0.40438636]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50293237 0.49706763]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38011209 0.         0.         0.61988791]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17201131 0.30217174 0.25720077 0.26861618]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23157174 0.40680136 0.         0.3616269 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.57126803 0.42873197 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36275298 0.63724702 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18770878 0.11335233 0.12216767 0.09952589 0.47724533]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0776928  0.06241056 0.12571841 0.73417824]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78427102 0.10849709 0.10723189]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17201131 0.30217174 0.25720077 0.26861618]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42441916 0.3032854  0.10333719 0.16895825]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32660712 0.11382993 0.4889575  0.07060544]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13954642 0.15039886 0.12252489 0.58752984]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08835647 0.64367742 0.12387412 0.14409199]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15903176 0.17139957 0.         0.66956866]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10384366 0.54573718 0.24972106 0.10069811]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25890368 0.29684652 0.4442498 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16903941 0.7261103  0.1048503 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51070739 0.36494605 0.12434657 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.46586341 0.53413659 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80419527 0.         0.19580473 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.36494669 0.31063319 0.32442011]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.70606262 0.13587999 0.15805738]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54019769 0.45980231 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24111839 0.5635713  0.19531031]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.83861134 0.16138866 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5524806 0.        0.4475194]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22859819 0.         0.54972814 0.22167367]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87847115 0.12152885 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29227404 0.23478347 0.47294248 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.19192817 0.         0.         0.80807183]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25582979 0.52598681 0.2181834 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22016346 0.16523087 0.61460567]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.57126803 0.42873197 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32722481 0.67277519 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33174348 0.66825652 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.87382037 0.12617963]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50768926 0.         0.         0.49231074]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18770878 0.11335233 0.12216767 0.09952589 0.47724533]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0776928  0.06241056 0.12571841 0.73417824]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78427102 0.10849709 0.10723189]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29227404 0.23478347 0.47294248 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25582979 0.52598681 0.2181834 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22016346 0.16523087 0.61460567]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55453918 0.44546082 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13954642 0.15039886 0.12252489 0.58752984]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32660712 0.11382993 0.4889575  0.07060544]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25890368 0.29684652 0.4442498 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10384366 0.54573718 0.24972106 0.10069811]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36820365 0.         0.63179635]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63909973 0.22274064 0.         0.13815963]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.33831882 0.36462967 0.29705151 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08835647 0.64367742 0.12387412 0.14409199]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24111839 0.5635713  0.19531031]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24796765 0.         0.34764599 0.40438636]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17201131 0.30217174 0.25720077 0.26861618]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5524806 0.        0.4475194]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24649519 0.         0.36857316 0.38493165]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41632298 0.         0.58367702 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50293237 0.49706763]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48128536 0.51871464 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22859819 0.         0.54972814 0.22167367]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50768926 0.         0.         0.49231074]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61718058 0.         0.38281942]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32722481 0.67277519 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40076065 0.         0.59923935 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42441916 0.3032854  0.10333719 0.16895825]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.21187885 0.78812115]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.5269206  0.17953549 0.29354391]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37950393 0.62049607]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
Iteration 68, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19315134 0.10531953 0.11030085 0.1027476  0.48848068]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3032588  0.13473185 0.49102471 0.07098464]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25791478 0.31893748 0.42314773]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43326695 0.27572728 0.12802246 0.16298331]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59582225 0.26471196 0.         0.13946579]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37760322 0.20589551 0.2156338  0.20086747 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09677598 0.60964428 0.12289183 0.17068791]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22256837 0.58582254 0.19160909]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2479174  0.         0.31482011 0.43726248]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7906901  0.10471426 0.10459564]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0973825  0.05768272 0.12335752 0.72157726]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50028335 0.49971665]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18913135 0.32209465 0.24738137 0.24139263]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53737441 0.         0.46262559]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.27899374 0.         0.36492022 0.35608604]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.3618282 0.        0.        0.6381718]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43327798 0.         0.56672202 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.47251639 0.25764877 0.26983484 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25646151 0.50845599 0.2350825 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17002012 0.13780978 0.6921701 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33527997 0.66472003 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34976489 0.20717677 0.44305834 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19719561 0.         0.80280439]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51763239 0.3294167  0.1529509  0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.42978552 0.57021448]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10961363 0.51361011 0.25989487 0.11688139]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65493948 0.         0.34506052]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77191364 0.         0.22808636 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44116378 0.         0.55883622 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.63651325 0.         0.36348675 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12412107 0.58158678 0.29429215 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.17588167 0.82411833 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19315134 0.10531953 0.11030085 0.1027476  0.48848068]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09677598 0.60964428 0.12289183 0.17068791]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22256837 0.58582254 0.19160909]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2479174  0.         0.31482011 0.43726248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18913135 0.32209465 0.24738137 0.24139263]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7906901  0.10471426 0.10459564]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0973825  0.05768272 0.12335752 0.72157726]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25646151 0.50845599 0.2350825 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11108577 0.0657996  0.         0.82311464]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50028335 0.49971665]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25129772 0.42796529 0.         0.32073699]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53737441 0.         0.46262559]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10961363 0.51361011 0.25989487 0.11688139]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2152698  0.11738005 0.1229318  0.         0.54441835]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62800993 0.37199007 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17002012 0.13780978 0.6921701 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14958014 0.15665486 0.         0.693765  ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3032588  0.13473185 0.49102471 0.07098464]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25791478 0.31893748 0.42314773]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59582225 0.26471196 0.         0.13946579]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48844886 0.51155114 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5217468 0.        0.4782532]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.16603991 0.83396009]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.57683959 0.29188999 0.13127042]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44710717 0.55289283 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68978568 0.31021432]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65493948 0.         0.34506052]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43930502 0.         0.         0.56069498]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43326695 0.27572728 0.12802246 0.16298331]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59820968 0.         0.17676002 0.22503031]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77191364 0.         0.22808636 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44055602 0.         0.55944398 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19315134 0.10531953 0.11030085 0.1027476  0.48848068]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3032588  0.13473185 0.49102471 0.07098464]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43326695 0.27572728 0.12802246 0.16298331]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17002012 0.13780978 0.6921701 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48652055 0.22589552 0.28758392]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25791478 0.31893748 0.42314773]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.43993099 0.56006901]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35047956 0.         0.5674827  0.08203773]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.42978552 0.57021448]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10961363 0.51361011 0.25989487 0.11688139]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37760322 0.20589551 0.2156338  0.20086747 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0973825  0.05768272 0.12335752 0.72157726]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.33081069 0.34645712 0.32273219 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09677598 0.60964428 0.12289183 0.17068791]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7906901  0.10471426 0.10459564]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11033528 0.69506168 0.         0.19460303]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22256837 0.58582254 0.19160909]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.3618282 0.        0.        0.6381718]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18913135 0.32209465 0.24738137 0.24139263]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88317066 0.         0.11682934]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.06390606 0.13666644 0.79942751]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25129772 0.42796529 0.         0.32073699]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53737441 0.         0.46262559]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.57683959 0.29188999 0.13127042]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81032496 0.         0.         0.18967504]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68978568 0.31021432]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48844886 0.51155114 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25646151 0.50845599 0.2350825 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55231841 0.44768159 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33527997 0.66472003 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31861825 0.68138175 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43930502 0.         0.         0.56069498]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19315134 0.10531953 0.11030085 0.1027476  0.48848068]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0973825  0.05768272 0.12335752 0.72157726]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17002012 0.13780978 0.6921701 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43326695 0.27572728 0.12802246 0.16298331]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25791478 0.31893748 0.42314773]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59820968 0.         0.17676002 0.22503031]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55231841 0.44768159 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10334364 0.         0.13090869 0.76574767]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7906901  0.10471426 0.10459564]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44116378 0.         0.55883622 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25646151 0.50845599 0.2350825 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13053195 0.13670575 0.12734432 0.60541797]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09677598 0.60964428 0.12289183 0.17068791]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50028335 0.49971665]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11033528 0.69506168 0.         0.19460303]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22256837 0.58582254 0.19160909]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.3618282 0.        0.        0.6381718]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18913135 0.32209465 0.24738137 0.24139263]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53737441 0.         0.46262559]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10961363 0.51361011 0.25989487 0.11688139]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3032588  0.13473185 0.49102471 0.07098464]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14958014 0.15665486 0.         0.693765  ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12412107 0.58158678 0.29429215 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.42978552 0.57021448]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19337431 0.70474476 0.10188093]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29664711 0.         0.70335289 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.17736527 0.         0.         0.82263473]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21531033 0.78468967 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.43993099 0.56006901]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.27899374 0.         0.36492022 0.35608604]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43930502 0.         0.         0.56069498]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5217468 0.        0.4782532]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19315134 0.10531953 0.11030085 0.1027476  0.48848068]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0973825  0.05768272 0.12335752 0.72157726]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7906901  0.10471426 0.10459564]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34976489 0.20717677 0.44305834 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13053195 0.13670575 0.12734432 0.60541797]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3032588  0.13473185 0.49102471 0.07098464]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25791478 0.31893748 0.42314773]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10961363 0.51361011 0.25989487 0.11688139]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.33081069 0.34645712 0.32273219 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09677598 0.60964428 0.12289183 0.17068791]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18913135 0.32209465 0.24738137 0.24139263]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50028335 0.49971665]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25129772 0.42796529 0.         0.32073699]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22256837 0.58582254 0.19160909]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11669428 0.73512046 0.14818527 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53737441 0.         0.46262559]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43930502 0.         0.         0.56069498]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43326695 0.27572728 0.12802246 0.16298331]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59582225 0.26471196 0.         0.13946579]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48844886 0.51155114 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.57683959 0.29188999 0.13127042]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37869473 0.         0.62130527]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65493948 0.         0.34506052]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51763239 0.3294167  0.1529509  0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77191364 0.         0.22808636 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44055602 0.         0.55944398 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25646151 0.50845599 0.2350825 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31861825 0.68138175 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5217468 0.        0.4782532]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17002012 0.13780978 0.6921701 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55231841 0.44768159 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68978568 0.31021432]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 69, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18590451 0.09589762 0.10974353 0.09665975 0.5117946 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10796452 0.50952425 0.25621064 0.1263006 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2088213  0.10771909 0.         0.10857517 0.57488444]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33476594 0.14435861 0.44611512 0.07476033]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.49121067 0.25338779 0.         0.25540154 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08903256 0.06889707 0.11990466 0.7221657 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.49802104 0.         0.50197896 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09886639 0.61779281 0.12000848 0.16333231]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23899887 0.58970102 0.1713001 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25867225 0.         0.31398803 0.42733972]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26194666 0.50683234 0.23122101]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.        0.4235482 0.5764518]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17321193 0.3413799  0.23547423 0.24993394]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58249931 0.         0.41750069]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26299217 0.         0.35752664 0.37948119]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79139402 0.10867019 0.09993579]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.07563067 0.13162343 0.7927459 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52093516 0.47906484]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40934331 0.         0.         0.59065669]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68671505 0.31328495]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.36491759 0.63508241 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16476589 0.14072653 0.69450758]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41526208 0.29985248 0.11444321 0.17044222]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53934526 0.46065474 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51279808 0.1957171  0.29148482]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21700424 0.67061377 0.112382  ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23179242 0.31467462 0.45353296]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.5711928  0.28722023 0.14158697]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33822244 0.         0.66177756]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65881393 0.         0.34118607]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.66981206 0.33018794]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.72376442 0.27623558 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18590451 0.09589762 0.10974353 0.09665975 0.5117946 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09886639 0.61779281 0.12000848 0.16333231]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23899887 0.58970102 0.1713001 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25867225 0.         0.31398803 0.42733972]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79139402 0.10867019 0.09993579]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08903256 0.06889707 0.11990466 0.7221657 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26194666 0.50683234 0.23122101]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16476589 0.14072653 0.69450758]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41526208 0.29985248 0.11444321 0.17044222]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53934526 0.46065474 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34073077 0.65926923 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10116241 0.07828365 0.         0.82055394]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52093516 0.47906484]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17321193 0.3413799  0.23547423 0.24993394]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37706667 0.         0.         0.62293333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20579677 0.10615891 0.12148637 0.         0.56655794]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56374829 0.43625171 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13366719 0.15296635 0.         0.71336646]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33476594 0.14435861 0.44611512 0.07476033]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10796452 0.50952425 0.25621064 0.1263006 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23179242 0.31467462 0.45353296]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36181538 0.15602294 0.48216168 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42416542 0.57583458 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22012203 0.         0.52237166 0.2575063 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58249931 0.         0.41750069]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46086469 0.         0.         0.53913531]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.69870338 0.30129662 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46633477 0.53366523 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2309289  0.45513311 0.31393799 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42382626 0.         0.57617374 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51279808 0.1957171  0.29148482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.40171661 0.59828339]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18590451 0.09589762 0.10974353 0.09665975 0.5117946 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08903256 0.06889707 0.11990466 0.7221657 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.11779652 0.13480425 0.11873269 0.62866654]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33476594 0.14435861 0.44611512 0.07476033]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23179242 0.31467462 0.45353296]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41526208 0.29985248 0.11444321 0.17044222]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40962186 0.59037814]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10796452 0.50952425 0.25621064 0.1263006 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60439624 0.26062926 0.         0.13497449]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59310655 0.         0.16345586 0.24343759]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17321193 0.3413799  0.23547423 0.24993394]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23899887 0.58970102 0.1713001 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09886639 0.61779281 0.12000848 0.16333231]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58249931 0.         0.41750069]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22012203 0.         0.52237166 0.2575063 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.31722572 0.36302747 0.31974681 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.66981206 0.33018794]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26299217 0.         0.35752664 0.37948119]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.70899612 0.         0.         0.29100388]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.8174468 0.        0.        0.1825532]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.49802104 0.         0.50197896 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25867225 0.         0.31398803 0.42733972]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79139402 0.10867019 0.09993579]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.07563067 0.13162343 0.7927459 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26194666 0.50683234 0.23122101]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68671505 0.31328495]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16476589 0.14072653 0.69450758]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53934526 0.46065474 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08709432 0.         0.91290568]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0. 1.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52093516 0.47906484]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.48510562 0.51489438]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37706667 0.         0.         0.62293333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18590451 0.09589762 0.10974353 0.09665975 0.5117946 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10796452 0.50952425 0.25621064 0.1263006 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23179242 0.31467462 0.45353296]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41526208 0.29985248 0.11444321 0.17044222]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40962186 0.59037814]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22012203 0.         0.52237166 0.2575063 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23899887 0.58970102 0.1713001 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46086469 0.         0.         0.53913531]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33476594 0.14435861 0.44611512 0.07476033]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2088213  0.10771909 0.         0.10857517 0.57488444]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26194666 0.50683234 0.23122101]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08903256 0.06889707 0.11990466 0.7221657 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79139402 0.10867019 0.09993579]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32045203 0.24797901 0.43156896 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53115133 0.         0.46884867]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23403089 0.         0.         0.12168272 0.64428639]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56374829 0.43625171 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.         0.15886113 0.84113887]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09886639 0.61779281 0.12000848 0.16333231]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77490164 0.22509836]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17321193 0.3413799  0.23547423 0.24993394]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25867225 0.         0.31398803 0.42733972]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52093516 0.47906484]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26299217 0.         0.35752664 0.37948119]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37706667 0.         0.         0.62293333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36181538 0.15602294 0.48216168 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59310655 0.         0.16345586 0.24343759]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42870286 0.         0.57129714 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40934331 0.         0.         0.59065669]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.78394928 0.         0.21605072 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16476589 0.14072653 0.69450758]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53934526 0.46065474 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18590451 0.09589762 0.10974353 0.09665975 0.5117946 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08903256 0.06889707 0.11990466 0.7221657 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79139402 0.10867019 0.09993579]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32045203 0.24797901 0.43156896 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26194666 0.50683234 0.23122101]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.11779652 0.13480425 0.11873269 0.62866654]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33476594 0.14435861 0.44611512 0.07476033]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.31722572 0.36302747 0.31974681 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09886639 0.61779281 0.12000848 0.16333231]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23899887 0.58970102 0.1713001 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10796452 0.50952425 0.25621064 0.1263006 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23179242 0.31467462 0.45353296]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21700424 0.67061377 0.112382  ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42416542 0.57583458 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22012203 0.         0.52237166 0.2575063 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46633477 0.53366523 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.66981206 0.33018794]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77490164 0.22509836]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25867225 0.         0.31398803 0.42733972]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17321193 0.3413799  0.23547423 0.24993394]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26299217 0.         0.35752664 0.37948119]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.52093516 0.47906484]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45170279 0.         0.54829721 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68671505 0.31328495]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16476589 0.14072653 0.69450758]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41526208 0.29985248 0.11444321 0.17044222]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53934526 0.46065474 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56374829 0.43625171 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40934331 0.         0.         0.59065669]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65881393 0.         0.34118607]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51279808 0.1957171  0.29148482]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.72376442 0.27623558 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
Iteration 70, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17734839 0.1056311  0.09916602 0.12225794 0.49559655]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.090886   0.06803588 0.13692864 0.70414948]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23643401 0.55659354 0.20697244]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10530532 0.07882995 0.         0.81586473]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8048976  0.10077843 0.09432397]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57189107 0.42810893 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15850074 0.16283388 0.67866538]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53322185 0.         0.46677815]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18933009 0.         0.81066991]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.12840321 0.12054437 0.14861447 0.60243795]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32596636 0.13061361 0.47078663 0.0726334 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32297652 0.30320894 0.37381454 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12447669 0.50374904 0.25266808 0.11910619]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20996993 0.34673866 0.44329141]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19377907 0.69846162 0.10775931]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37716309 0.62283691 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25083416 0.         0.50915383 0.240012  ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64263484 0.         0.35736516]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41053413 0.29503898 0.1180066  0.17642029]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58235011 0.         0.1673945  0.25025538]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.40080103 0.59919897]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1498686  0.37538178 0.22474289 0.25000673]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51654122 0.48345878]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1933147  0.48420295 0.         0.32248234]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21636272 0.63533138 0.14830589]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.33005016 0.         0.66994984 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.81074676 0.18925324]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10251416 0.60760652 0.11510122 0.1747781 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37478831 0.         0.         0.62521169]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26125348 0.         0.29333113 0.44541539]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.4635199 0.        0.5364801 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47107957 0.         0.52892043 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17734839 0.1056311  0.09916602 0.12225794 0.49559655]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12447669 0.50374904 0.25266808 0.11910619]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20996993 0.34673866 0.44329141]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32596636 0.13061361 0.47078663 0.0726334 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19687133 0.11725924 0.         0.13571639 0.55015304]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19377907 0.69846162 0.10775931]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37716309 0.62283691 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25083416 0.         0.50915383 0.240012  ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21636272 0.63533138 0.14830589]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10251416 0.60760652 0.11510122 0.1747781 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.59331325 0.         0.40668675]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1498686  0.37538178 0.22474289 0.25000673]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8048976  0.10077843 0.09432397]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.090886   0.06803588 0.13692864 0.70414948]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51654122 0.48345878]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1933147  0.48420295 0.         0.32248234]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26125348 0.         0.29333113 0.44541539]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36969716 0.         0.         0.63030284]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43764069 0.26066473 0.         0.30169458 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23643401 0.55659354 0.20697244]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30720245 0.22996706 0.46283049 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15850074 0.16283388 0.67866538]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41053413 0.29503898 0.1180066  0.17642029]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64263484 0.         0.35736516]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49847529 0.35823974 0.14328498 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.7767313 0.        0.2232687 0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49325758 0.50674242 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39894715 0.         0.60105285 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53322185 0.         0.46677815]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59193807 0.         0.         0.40806193 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28532792 0.71467208 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51102398 0.         0.         0.48897602]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17734839 0.1056311  0.09916602 0.12225794 0.49559655]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10251416 0.60760652 0.11510122 0.1747781 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21636272 0.63533138 0.14830589]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26125348 0.         0.29333113 0.44541539]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1498686  0.37538178 0.22474289 0.25000673]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47107957 0.         0.52892043 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8048976  0.10077843 0.09432397]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.090886   0.06803588 0.13692864 0.70414948]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51654122 0.48345878]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20205069 0.12034413 0.11297854 0.         0.56462664]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12447669 0.50374904 0.25266808 0.11910619]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.59331325 0.         0.40668675]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19982659 0.50051353 0.29965988 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28532792 0.71467208 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41053413 0.29503898 0.1180066  0.17642029]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15850074 0.16283388 0.67866538]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30720245 0.22996706 0.46283049 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23643401 0.55659354 0.20697244]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57189107 0.42810893 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22778557 0.13567217 0.         0.         0.63654226]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19350448 0.80649552]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50051919 0.20019242 0.29928839]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16656146 0.67406333 0.         0.15937522]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32596636 0.13061361 0.47078663 0.0726334 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.17569236 0.         0.         0.82430764]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53322185 0.         0.46677815]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19377907 0.69846162 0.10775931]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19814008 0.80185992 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20996993 0.34673866 0.44329141]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.2171825 0.7828175 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37716309 0.62283691 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.62579951 0.         0.37420049]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17734839 0.1056311  0.09916602 0.12225794 0.49559655]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12447669 0.50374904 0.25266808 0.11910619]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20996993 0.34673866 0.44329141]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32596636 0.13061361 0.47078663 0.0726334 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19687133 0.11725924 0.         0.13571639 0.55015304]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19377907 0.69846162 0.10775931]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37716309 0.62283691 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25083416 0.         0.50915383 0.240012  ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43764069 0.26066473 0.         0.30169458 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23643401 0.55659354 0.20697244]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.090886   0.06803588 0.13692864 0.70414948]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53322185 0.         0.46677815]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15850074 0.16283388 0.67866538]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41053413 0.29503898 0.1180066  0.17642029]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64263484 0.         0.35736516]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49847529 0.35823974 0.14328498 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.7767313 0.        0.2232687 0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49325758 0.50674242 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59193807 0.         0.         0.40806193 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10530532 0.07882995 0.         0.81586473]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8048976  0.10077843 0.09432397]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57189107 0.42810893 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10251416 0.60760652 0.11510122 0.1747781 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21636272 0.63533138 0.14830589]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26125348 0.         0.29333113 0.44541539]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1498686  0.37538178 0.22474289 0.25000673]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.       0.       0.397066 0.602934]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51654122 0.48345878]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19982659 0.50051353 0.29965988 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.67962767 0.32037233]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.62550633 0.37449367 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.59331325 0.         0.40668675]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17734839 0.1056311  0.09916602 0.12225794 0.49559655]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23643401 0.55659354 0.20697244]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15850074 0.16283388 0.67866538]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41053413 0.29503898 0.1180066  0.17642029]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20996993 0.34673866 0.44329141]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32596636 0.13061361 0.47078663 0.0726334 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12447669 0.50374904 0.25266808 0.11910619]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37716309 0.62283691 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25083416 0.         0.50915383 0.240012  ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21636272 0.63533138 0.14830589]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1498686  0.37538178 0.22474289 0.25000673]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58235011 0.         0.1673945  0.25025538]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49325758 0.50674242 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29814098 0.70185902 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.090886   0.06803588 0.13692864 0.70414948]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19829445 0.         0.1108782  0.13669744 0.55412991]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10251416 0.60760652 0.11510122 0.1747781 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22969288 0.         0.12843493 0.         0.64187219]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35149676 0.14084356 0.50765968 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.40080103 0.59919897]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.71393049 0.28606951 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.64137125 0.         0.35862875 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51102398 0.         0.         0.48897602]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.44155736 0.26436253 0.2940801 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.67700959 0.12824851 0.1947419 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25403806 0.74596194 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10530532 0.07882995 0.         0.81586473]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8048976  0.10077843 0.09432397]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57189107 0.42810893 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.       0.       0.397066 0.602934]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.62550633 0.37449367 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51654122 0.48345878]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
Iteration 71, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16476646 0.11086548 0.10850674 0.09936031 0.51650101]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34760397 0.12976742 0.43781663 0.08481198]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34077933 0.22929826 0.22441979 0.20550262 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09274508 0.06881996 0.127549   0.71088596]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78109039 0.11120206 0.10770755]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32079066 0.23803742 0.44117192 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24324921 0.5488047  0.20794609]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57404177 0.42595823 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1558751  0.17547329 0.66865161]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259591  0.26365331 0.09928943 0.21109816]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19155746 0.3502944  0.45814815]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19890897 0.67109027 0.13000076]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35352367 0.64647633 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09772627 0.52397494 0.24170436 0.13659443]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57847629 0.         0.13484059 0.28668312]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.4704266 0.5295734 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53912177 0.         0.46087823]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.34783233 0.34043196 0.3117357  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09551017 0.61699024 0.10999418 0.17750541]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19852323 0.62560536 0.17587141]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24936745 0.         0.28718376 0.46344879]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.50537611 0.49462389 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20529648 0.         0.50775554 0.28694798]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60475246 0.         0.39524754]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31988852 0.68011148]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28791235 0.         0.71208765 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53025126 0.         0.46974874]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15378164 0.34643822 0.21150654 0.28827361]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.       0.       0.382589 0.617411]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23529778 0.         0.32362134 0.44108088]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50798162 0.49201838]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34787877 0.         0.         0.65212123]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16476646 0.11086548 0.10850674 0.09936031 0.51650101]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34760397 0.12976742 0.43781663 0.08481198]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34077933 0.22929826 0.22441979 0.20550262 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09551017 0.61699024 0.10999418 0.17750541]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19852323 0.62560536 0.17587141]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09772627 0.52397494 0.24170436 0.13659443]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19155746 0.3502944  0.45814815]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20529648 0.         0.50775554 0.28694798]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19890897 0.67109027 0.13000076]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28791235 0.         0.71208765 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78056581 0.21943419]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24936745 0.         0.28718376 0.46344879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15378164 0.34643822 0.21150654 0.28827361]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46475983 0.         0.53524017 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42892442 0.28860796 0.28246762 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5977771 0.4022229 0.        0.        0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24324921 0.5488047  0.20794609]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09274508 0.06881996 0.127549   0.71088596]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21606848 0.48675758 0.29717394 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78109039 0.11120206 0.10770755]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.30742809 0.69257191 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259591  0.26365331 0.09928943 0.21109816]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29483732 0.         0.70516268]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57847629 0.         0.13484059 0.28668312]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.22863119 0.77136881 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.81096677 0.         0.18903323 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1558751  0.17547329 0.66865161]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87537488 0.12462512 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.07585515 0.14058783 0.78355702]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.72521192 0.27478808]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35046252 0.64953748 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.4704266 0.5295734 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16476646 0.11086548 0.10850674 0.09936031 0.51650101]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34760397 0.12976742 0.43781663 0.08481198]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19155746 0.3502944  0.45814815]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09772627 0.52397494 0.24170436 0.13659443]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29483732 0.         0.70516268]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259591  0.26365331 0.09928943 0.21109816]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1558751  0.17547329 0.66865161]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4592936  0.17296577 0.36774063]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61831066 0.23082757 0.         0.15086177]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34077933 0.22929826 0.22441979 0.20550262 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09551017 0.61699024 0.10999418 0.17750541]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19852323 0.62560536 0.17587141]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15378164 0.34643822 0.21150654 0.28827361]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78109039 0.11120206 0.10770755]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09274508 0.06881996 0.127549   0.71088596]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50798162 0.49201838]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24936745 0.         0.28718376 0.46344879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19503223 0.43936726 0.         0.36560051]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.72643226 0.27356774 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60475246 0.         0.39524754]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.        0.5458197 0.        0.4541803]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46475983 0.         0.53524017 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42892442 0.28860796 0.28246762 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32079066 0.23803742 0.44117192 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24324921 0.5488047  0.20794609]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.4704266 0.5295734 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57404177 0.42595823 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.50537611 0.49462389 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30711194 0.69288806 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20529648 0.         0.50775554 0.28694798]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24088865 0.75911135 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.41706204 0.         0.         0.58293796]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16476646 0.11086548 0.10850674 0.09936031 0.51650101]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24324921 0.5488047  0.20794609]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18531106 0.         0.12203636 0.11174947 0.58090312]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09772627 0.52397494 0.24170436 0.13659443]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19155746 0.3502944  0.45814815]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20529648 0.         0.50775554 0.28694798]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19852323 0.62560536 0.17587141]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.41706204 0.         0.         0.58293796]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34760397 0.12976742 0.43781663 0.08481198]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21106917 0.         0.         0.12728257 0.66164826]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19890897 0.67109027 0.13000076]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29483732 0.         0.70516268]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60475246 0.         0.39524754]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62381584 0.         0.         0.37618416 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09274508 0.06881996 0.127549   0.71088596]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09551017 0.61699024 0.10999418 0.17750541]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78056581 0.21943419]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24936745 0.         0.28718376 0.46344879]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78109039 0.11120206 0.10770755]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.07585515 0.14058783 0.78355702]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50798162 0.49201838]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15378164 0.34643822 0.21150654 0.28827361]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.34983413 0.         0.         0.65016587]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21606848 0.48675758 0.29717394 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.72521192 0.27478808]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35046252 0.64953748 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1558751  0.17547329 0.66865161]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259591  0.26365331 0.09928943 0.21109816]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.4704266 0.5295734 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4592936  0.17296577 0.36774063]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31988852 0.68011148]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.30742809 0.69257191 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16476646 0.11086548 0.10850674 0.09936031 0.51650101]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24324921 0.5488047  0.20794609]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1558751  0.17547329 0.66865161]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259591  0.26365331 0.09928943 0.21109816]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15378164 0.34643822 0.21150654 0.28827361]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19852323 0.62560536 0.17587141]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09551017 0.61699024 0.10999418 0.17750541]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23529778 0.         0.32362134 0.44108088]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78109039 0.11120206 0.10770755]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09274508 0.06881996 0.127549   0.71088596]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18531106 0.         0.12203636 0.11174947 0.58090312]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34760397 0.12976742 0.43781663 0.08481198]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47291451 0.29271701 0.         0.23436848]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.4704266 0.5295734 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.07585515 0.14058783 0.78355702]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.50798162 0.49201838]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34787877 0.         0.         0.65212123]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11612255 0.75014504 0.13373241 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13404928 0.86595072 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53025126 0.         0.46974874]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09772627 0.52397494 0.24170436 0.13659443]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.55535017 0.         0.44464983]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39943801 0.         0.50310301 0.09745898]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19155746 0.3502944  0.45814815]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12887621 0.69099031 0.         0.18013348]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29483732 0.         0.70516268]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80386482 0.         0.         0.19613518]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44216759 0.         0.29118889 0.26664351 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60293677 0.         0.39706323 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.41706204 0.         0.         0.58293796]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35046252 0.64953748 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30711194 0.69288806 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 72, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16635731 0.11574815 0.10101412 0.10814284 0.50873758]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30684721 0.11325215 0.50795522 0.07194542]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45405422 0.26204194 0.09498512 0.18891872]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15993389 0.16168325 0.67838286]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.47997796 0.17398269 0.34603935]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20724846 0.34426437 0.44848716]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0977415  0.49600984 0.28532262 0.12092604]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17877324 0.67010201 0.15112475]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10076577 0.6049723  0.1179337  0.17632824]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5419046 0.        0.4580954]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13676311 0.69403322 0.         0.16920368]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33863228 0.23561368 0.20562152 0.22013253 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25508532 0.         0.29854538 0.4463693 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78855142 0.10825359 0.10319499]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17169528 0.33279504 0.21840863 0.27710106]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87928971 0.12071029 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1064964  0.07791394 0.15778924 0.65780042]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36365192 0.         0.         0.63634808]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43421772 0.30212015 0.26366213 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31121138 0.22768568 0.46110295 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25759267 0.50609572 0.23631161]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49728037 0.50271963 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33730075 0.66269925 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5774969 0.4225031 0.        0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53398659 0.46601341 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.80398929 0.         0.19601071]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31605491 0.         0.68394509]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33456792 0.66543208]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21967397 0.4257916  0.         0.35453444]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3460366  0.         0.57282938 0.08113403]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.87593491 0.12406509]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54565858 0.         0.45434142]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16635731 0.11574815 0.10101412 0.10814284 0.50873758]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10076577 0.6049723  0.1179337  0.17632824]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17169528 0.33279504 0.21840863 0.27710106]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78855142 0.10825359 0.10319499]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1064964  0.07791394 0.15778924 0.65780042]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51196177 0.48803823]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21967397 0.4257916  0.         0.35453444]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17877324 0.67010201 0.15112475]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12233728 0.73448226 0.14318045 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5419046 0.        0.4580954]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38256836 0.         0.         0.61743164]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46074995 0.         0.53925005 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1865291  0.12978328 0.11326267 0.         0.57042495]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30684721 0.11325215 0.50795522 0.07194542]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43421772 0.30212015 0.26366213 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0977415  0.49600984 0.28532262 0.12092604]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20724846 0.34426437 0.44848716]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19393533 0.         0.56612737 0.2399373 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44698678 0.         0.         0.55301322]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58969902 0.41030098 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31121138 0.22768568 0.46110295 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15993389 0.16168325 0.67838286]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40295948 0.         0.59704052 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25759267 0.50609572 0.23631161]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68169548 0.31830452]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19246491 0.80753509]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45405422 0.26204194 0.09498512 0.18891872]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.16338699 0.73281854 0.10379447]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31605491 0.         0.68394509]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6115207 0.        0.3884793]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.47997796 0.17398269 0.34603935]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33456792 0.66543208]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16635731 0.11574815 0.10101412 0.10814284 0.50873758]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30684721 0.11325215 0.50795522 0.07194542]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45405422 0.26204194 0.09498512 0.18891872]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20724846 0.34426437 0.44848716]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3460366  0.         0.57282938 0.08113403]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33863228 0.23561368 0.20562152 0.22013253 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1064964  0.07791394 0.15778924 0.65780042]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78855142 0.10825359 0.10319499]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10076577 0.6049723  0.1179337  0.17632824]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17877324 0.67010201 0.15112475]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25508532 0.         0.29854538 0.4463693 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88427765 0.         0.11572235]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31121138 0.22768568 0.46110295 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25759267 0.50609572 0.23631161]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5774969 0.4225031 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35625216 0.31090346 0.33284438 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52154371 0.         0.47845629]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15993389 0.16168325 0.67838286]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.61528459 0.         0.12871343 0.25600198]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49728037 0.50271963 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.48295845 0.51704155 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0977415  0.49600984 0.28532262 0.12092604]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37578176 0.62421824 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19393533 0.         0.56612737 0.2399373 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.87593491 0.12406509]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33456792 0.66543208]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17169528 0.33279504 0.21840863 0.27710106]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21967397 0.4257916  0.         0.35453444]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5419046 0.        0.4580954]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38256836 0.         0.         0.61743164]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36365192 0.         0.         0.63634808]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25515702 0.         0.74484298 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16635731 0.11574815 0.10101412 0.10814284 0.50873758]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1064964  0.07791394 0.15778924 0.65780042]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78855142 0.10825359 0.10319499]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31121138 0.22768568 0.46110295 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15993389 0.16168325 0.67838286]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25759267 0.50609572 0.23631161]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13884623 0.12117197 0.12972325 0.61025855]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30684721 0.11325215 0.50795522 0.07194542]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20724846 0.34426437 0.44848716]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0977415  0.49600984 0.28532262 0.12092604]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31605491 0.         0.68394509]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62361643 0.23016635 0.         0.14621723]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35625216 0.31090346 0.33284438 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10076577 0.6049723  0.1179337  0.17632824]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17877324 0.67010201 0.15112475]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17169528 0.33279504 0.21840863 0.27710106]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45405422 0.26204194 0.09498512 0.18891872]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19077979 0.         0.80922021]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.47997796 0.17398269 0.34603935]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6115207 0.        0.3884793]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19393533 0.         0.56612737 0.2399373 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21060013 0.78939987 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25508532 0.         0.29854538 0.4463693 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.53398659 0.46601341 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68169548 0.31830452]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40295948 0.         0.59704052 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44698678 0.         0.         0.55301322]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73395541 0.26604459 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.40177851 0.2636815  0.33453999]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51196177 0.48803823]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.40077795 0.59922205]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.        0.        0.4407757 0.5592243]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16635731 0.11574815 0.10101412 0.10814284 0.50873758]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10076577 0.6049723  0.1179337  0.17632824]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1865291  0.12978328 0.11326267 0.         0.57042495]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30684721 0.11325215 0.50795522 0.07194542]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20724846 0.34426437 0.44848716]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0977415  0.49600984 0.28532262 0.12092604]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17877324 0.67010201 0.15112475]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17169528 0.33279504 0.21840863 0.27710106]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.67276387 0.13114903 0.1960871 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23750938 0.46036177 0.30212885 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21060013 0.78939987 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.83686164 0.16313836 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13676311 0.69403322 0.         0.16920368]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31605491 0.         0.68394509]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62361643 0.23016635 0.         0.14621723]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43421772 0.30212015 0.26366213 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25759267 0.50609572 0.23631161]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1064964  0.07791394 0.15778924 0.65780042]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15993389 0.16168325 0.67838286]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45405422 0.26204194 0.09498512 0.18891872]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.44012704 0.         0.55987296 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50170912 0.28954435 0.         0.20874654]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49728037 0.50271963 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11549508 0.         0.17112203 0.71338289]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78855142 0.10825359 0.10319499]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40295948 0.         0.59704052 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52154371 0.         0.47845629]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62219553 0.         0.37780447 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44698678 0.         0.         0.55301322]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.6115207 0.        0.3884793]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.58107494 0.         0.41892506]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.51196177 0.48803823]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
Iteration 73, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16937875 0.11062216 0.10634408 0.1209775  0.49267751]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11320596 0.07091529 0.14281627 0.67306248]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16961484 0.16254725 0.66783791]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41699711 0.28359006 0.107364   0.19204883]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31080068 0.11390089 0.49483096 0.08046746]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10303734 0.52053851 0.26255852 0.11386563]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33799857 0.12386826 0.53813317 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13318003 0.12802957 0.145647   0.5931434 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18711177 0.81288823 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22570488 0.32195289 0.45234222]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51611672 0.35099901 0.13288427 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4121276 0.5878724 0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79524798 0.         0.20475202 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17718631 0.32080188 0.23478378 0.26722802]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51063877 0.48936123 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12184676 0.         0.15371717 0.72443607]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79631293 0.09757419 0.10611288]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44217239 0.         0.55782761 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32733899 0.31467983 0.35798118 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09875419 0.61246011 0.12400849 0.16477721]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20752334 0.62204474 0.17043192]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.38988399 0.28534258 0.32477343]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2548233  0.         0.31998896 0.42518774]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47903968 0.52096032]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.        0.5774121 0.4225879 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37473407 0.         0.         0.62526593]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2501583 0.7498417 0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11627733 0.58742616 0.29629651 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28183399 0.         0.71816601 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.50985887 0.49014113 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2620479  0.50569153 0.23226058]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34132401 0.65867599 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16937875 0.11062216 0.10634408 0.1209775  0.49267751]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09875419 0.61246011 0.12400849 0.16477721]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20752334 0.62204474 0.17043192]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2548233  0.         0.31998896 0.42518774]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17718631 0.32080188 0.23478378 0.26722802]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54906853 0.         0.45093147]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10303734 0.52053851 0.26255852 0.11386563]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22570488 0.32195289 0.45234222]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41699711 0.28359006 0.107364   0.19204883]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31080068 0.11390089 0.49483096 0.08046746]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51611672 0.35099901 0.13288427 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16961484 0.16254725 0.66783791]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.7253795 0.2746205 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41580127 0.58419873]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3507516  0.         0.55843749 0.09081091]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21490223 0.         0.54761128 0.23748649]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.7943419 0.        0.        0.2056581]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1926899  0.12584679 0.12097993 0.         0.56048339]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28183399 0.         0.71816601 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21920989 0.14316714 0.         0.         0.63762297]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26087574 0.         0.3456779  0.39344635]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79631293 0.09757419 0.10611288]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11320596 0.07091529 0.14281627 0.67306248]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47903968 0.52096032]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39869621 0.         0.         0.60130379]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.4433157 0.        0.5566843 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60492215 0.39507785 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2620479  0.50569153 0.23226058]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34626177 0.21690777 0.43683047 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51063877 0.48936123 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68526335 0.31473665]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44217239 0.         0.55782761 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16937875 0.11062216 0.10634408 0.1209775  0.49267751]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31080068 0.11390089 0.49483096 0.08046746]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22570488 0.32195289 0.45234222]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10303734 0.52053851 0.26255852 0.11386563]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33287493 0.         0.66712507]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41699711 0.28359006 0.107364   0.19204883]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61524096 0.22547085 0.         0.1592882 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33386802 0.21805097 0.2096183  0.23846271 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09875419 0.61246011 0.12400849 0.16477721]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79631293 0.09757419 0.10611288]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11320596 0.07091529 0.14281627 0.67306248]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47903968 0.52096032]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17718631 0.32080188 0.23478378 0.26722802]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11273419 0.69916215 0.         0.18810366]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2418028  0.43779224 0.32040497 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20752334 0.62204474 0.17043192]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13885293 0.86114707 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54906853 0.         0.45093147]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21490223 0.         0.54761128 0.23748649]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43009509 0.         0.56990491 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43841323 0.28633    0.27525678 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34626177 0.21690777 0.43683047 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16961484 0.16254725 0.66783791]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58206494 0.         0.14986391 0.26807114]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51063877 0.48936123 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2620479  0.50569153 0.23226058]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44217239 0.         0.55782761 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.50985887 0.49014113 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5301303 0.        0.4698697]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47503888 0.         0.         0.52496112]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58600532 0.         0.41399468]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35858182 0.64141818]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16937875 0.11062216 0.10634408 0.1209775  0.49267751]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31080068 0.11390089 0.49483096 0.08046746]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41699711 0.28359006 0.107364   0.19204883]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16961484 0.16254725 0.66783791]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48642994 0.18415689 0.32941317]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22570488 0.32195289 0.45234222]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3507516  0.         0.55843749 0.09081091]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33386802 0.21805097 0.2096183  0.23846271 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11320596 0.07091529 0.14281627 0.67306248]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79631293 0.09757419 0.10611288]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17718631 0.32080188 0.23478378 0.26722802]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09875419 0.61246011 0.12400849 0.16477721]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20752334 0.62204474 0.17043192]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2548233  0.         0.31998896 0.42518774]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89084283 0.10915717 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34626177 0.21690777 0.43683047 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2620479  0.50569153 0.23226058]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32733899 0.31467983 0.35798118 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37473407 0.         0.         0.62526593]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2418028  0.43779224 0.32040497 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.50985887 0.49014113 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10303734 0.52053851 0.26255852 0.11386563]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4121276 0.5878724 0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35858182 0.64141818]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.86012918 0.13987082]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21490223 0.         0.54761128 0.23748649]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54906853 0.         0.45093147]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47503888 0.         0.         0.52496112]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68526335 0.31473665]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51063877 0.48936123 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61484464 0.38515536 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35580425 0.64419575 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16937875 0.11062216 0.10634408 0.1209775  0.49267751]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31080068 0.11390089 0.49483096 0.08046746]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22570488 0.32195289 0.45234222]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41699711 0.28359006 0.107364   0.19204883]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16961484 0.16254725 0.66783791]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11320596 0.07091529 0.14281627 0.67306248]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33386802 0.21805097 0.2096183  0.23846271 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09875419 0.61246011 0.12400849 0.16477721]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20752334 0.62204474 0.17043192]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2548233  0.         0.31998896 0.42518774]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79631293 0.09757419 0.10611288]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17718631 0.32080188 0.23478378 0.26722802]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54906853 0.         0.45093147]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10303734 0.52053851 0.26255852 0.11386563]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61524096 0.22547085 0.         0.1592882 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48642994 0.18415689 0.32941317]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.7943419 0.        0.        0.2056581]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43841323 0.28633    0.27525678 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11627733 0.58742616 0.29629651 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41580127 0.58419873]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28183399 0.         0.71816601 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26087574 0.         0.3456779  0.39344635]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37473407 0.         0.         0.62526593]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43009509 0.         0.56990491 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.7253795 0.2746205 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60492215 0.39507785 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.07996816 0.16104784 0.758984  ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89084283 0.10915717 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33179605 0.66820395 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2620479  0.50569153 0.23226058]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19574922 0.80425078]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5301303 0.        0.4698697]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
Iteration 74, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17157285 0.11325871 0.09339319 0.10831845 0.51345679]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10471562 0.06254563 0.14520965 0.6875291 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22232622 0.55857183 0.21910194]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13671536 0.11273555 0.13075193 0.61979716]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31755456 0.12708585 0.46523231 0.09012728]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.109416   0.5355911  0.24676238 0.10823052]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34900987 0.13967431 0.51131581 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22118061 0.34127311 0.43754628]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.71418286 0.28581714 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43344805 0.27829983 0.10130071 0.18695141]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39324232 0.60675768 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60059297 0.         0.14036399 0.25904304]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18852032 0.14499863 0.66648105]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12250445 0.07317073 0.         0.80432482]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8304246  0.07671985 0.09285555]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62606025 0.37393975 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.17868424 0.82131576]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35143093 0.64856907]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18002831 0.32071937 0.23204221 0.26721011]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45242326 0.54757674]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23442475 0.4176263  0.         0.34794895]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21512525 0.61041233 0.17446242]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09787397 0.61280333 0.12977556 0.15954714]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.552187 0.       0.447813]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12269538 0.60059366 0.27671095 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35958531 0.29651423 0.34390046 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.68458965 0.31541035 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4025332 0.        0.        0.5974668]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.51114795 0.         0.48885205 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25277585 0.         0.33516703 0.41205712]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38020956 0.         0.         0.61979044]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.71825983 0.28174017]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17157285 0.11325871 0.09339319 0.10831845 0.51345679]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09787397 0.61280333 0.12977556 0.15954714]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21512525 0.61041233 0.17446242]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25277585 0.         0.33516703 0.41205712]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8304246  0.07671985 0.09285555]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10471562 0.06254563 0.14520965 0.6875291 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45242326 0.54757674]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38020956 0.         0.         0.61979044]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18002831 0.32071937 0.23204221 0.26721011]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.552187 0.       0.447813]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.109416   0.5355911  0.24676238 0.10823052]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19241493 0.127017   0.10473828 0.         0.57582978]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33512119 0.20016466 0.46471415 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22232622 0.55857183 0.21910194]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15728002 0.12969319 0.         0.71302679]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31755456 0.12708585 0.46523231 0.09012728]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22118061 0.34127311 0.43754628]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.60139313 0.27707929 0.12152758]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33576982 0.         0.66423018]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59381777 0.23764683 0.         0.1685354 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.        0.        0.6951192 0.3048808]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.71418286 0.28581714 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43344805 0.27829983 0.10130071 0.18695141]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18852032 0.14499863 0.66648105]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.71825983 0.28174017]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22049125 0.         0.77950875]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49121679 0.17880216 0.32998105]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54806517 0.45193483 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26502789 0.         0.34159993 0.39337219]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62606025 0.37393975 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43688714 0.         0.56311286 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.73313866 0.26686134 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17157285 0.11325871 0.09339319 0.10831845 0.51345679]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09787397 0.61280333 0.12977556 0.15954714]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21512525 0.61041233 0.17446242]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25277585 0.         0.33516703 0.41205712]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8304246  0.07671985 0.09285555]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10471562 0.06254563 0.14520965 0.6875291 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45242326 0.54757674]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38020956 0.         0.         0.61979044]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18002831 0.32071937 0.23204221 0.26721011]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.552187 0.       0.447813]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.109416   0.5355911  0.24676238 0.10823052]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19241493 0.127017   0.10473828 0.         0.57582978]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33512119 0.20016466 0.46471415 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18852032 0.14499863 0.66648105]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43344805 0.27829983 0.10130071 0.18695141]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22118061 0.34127311 0.43754628]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60059297 0.         0.14036399 0.25904304]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56524619 0.43475381 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22232622 0.55857183 0.21910194]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.41898773 0.         0.58101227 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15728002 0.12969319 0.         0.71302679]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31755456 0.12708585 0.46523231 0.09012728]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54806517 0.45193483 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.60139313 0.27707929 0.12152758]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43819288 0.56180712]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18622126 0.68171356 0.13206519]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.        0.        0.6951192 0.3048808]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26502789 0.         0.34159993 0.39337219]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5036521 0.        0.4963479]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58507442 0.         0.41492558]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35143093 0.64856907]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43688714 0.         0.56311286 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17157285 0.11325871 0.09339319 0.10831845 0.51345679]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09787397 0.61280333 0.12977556 0.15954714]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21512525 0.61041233 0.17446242]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25277585 0.         0.33516703 0.41205712]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8304246  0.07671985 0.09285555]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10471562 0.06254563 0.14520965 0.6875291 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22232622 0.55857183 0.21910194]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19241493 0.127017   0.10473828 0.         0.57582978]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31755456 0.12708585 0.46523231 0.09012728]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22118061 0.34127311 0.43754628]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59381777 0.23764683 0.         0.1685354 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4536267  0.29944818 0.24692512 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.109416   0.5355911  0.24676238 0.10823052]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.552187 0.       0.447813]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18002831 0.32071937 0.23204221 0.26721011]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45242326 0.54757674]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38020956 0.         0.         0.61979044]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23442475 0.4176263  0.         0.34794895]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14526093 0.71105198 0.         0.14368709]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58507442 0.         0.41492558]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43344805 0.27829983 0.10130071 0.18695141]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18852032 0.14499863 0.66648105]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12250445 0.07317073 0.         0.80432482]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4025332 0.        0.        0.5974668]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49121679 0.17880216 0.32998105]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39324232 0.60675768 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16963534 0.83036466 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35143093 0.64856907]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60236599 0.39763401 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62606025 0.37393975 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.71825983 0.28174017]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.17868424 0.82131576]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17157285 0.11325871 0.09339319 0.10831845 0.51345679]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31755456 0.12708585 0.46523231 0.09012728]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43344805 0.27829983 0.10130071 0.18695141]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22118061 0.34127311 0.43754628]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.109416   0.5355911  0.24676238 0.10823052]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21512525 0.61041233 0.17446242]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09787397 0.61280333 0.12977556 0.15954714]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18002831 0.32071937 0.23204221 0.26721011]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8304246  0.07671985 0.09285555]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10471562 0.06254563 0.14520965 0.6875291 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45242326 0.54757674]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23442475 0.4176263  0.         0.34794895]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60059297 0.         0.14036399 0.25904304]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18852032 0.14499863 0.66648105]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22232622 0.55857183 0.21910194]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22049125 0.         0.77950875]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35143093 0.64856907]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3637867  0.         0.53296456 0.10324874]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33576982 0.         0.66423018]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.7789274 0.        0.        0.2210726]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3526364  0.23278244 0.19195252 0.22262864 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33512119 0.20016466 0.46471415 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35958531 0.29651423 0.34390046 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11645385 0.72913469 0.15441147 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.552187 0.       0.447813]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14526093 0.71105198 0.         0.14368709]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54550654 0.         0.45449346]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42993266 0.         0.57006734 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54806517 0.45193483 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50272341 0.         0.         0.49727659]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28470582 0.71529418 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.30105435 0.69894565 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 75, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17144832 0.09765849 0.12174898 0.10424698 0.50489722]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24223257 0.53503189 0.22273554]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11163621 0.07407248 0.1365318  0.6777595 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.84703942 0.07323633 0.07972426]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34643757 0.22986708 0.42369535 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19000381 0.         0.13492561 0.11552941 0.55954117]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3595728  0.13569785 0.42155625 0.0831731 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19286199 0.31514687 0.49199115]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10213731 0.53515486 0.25927515 0.10343268]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20374883 0.61486318 0.18138799]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1105042  0.59727841 0.13964087 0.15257653]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16455816 0.30952185 0.26801303 0.25790696]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47879216 0.52120784]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13040021 0.70481693 0.16478287 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52902974 0.         0.47097026]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22481023 0.42285158 0.         0.35233819]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13788833 0.72247455 0.         0.13963712]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28161072 0.         0.71838928]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62162104 0.23459126 0.         0.1437877 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49684932 0.         0.         0.50315068]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.431377   0.         0.30632968 0.26229332 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35171403 0.64828597 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548813 0.15343073 0.66108114]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4202658  0.28324712 0.11090729 0.1855798 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54729363 0.45270637 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52096598 0.         0.47903402]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.53872193 0.46127807 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44176045 0.         0.55823955 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38951892 0.         0.         0.61048108]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.488581   0.19130713 0.32011187]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37407123 0.62592877]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.72601274 0.27398726 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17144832 0.09765849 0.12174898 0.10424698 0.50489722]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10213731 0.53515486 0.25927515 0.10343268]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20374883 0.61486318 0.18138799]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13788833 0.72247455 0.         0.13963712]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19521563 0.11119655 0.         0.11869839 0.57488943]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11163621 0.07407248 0.1365318  0.6777595 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.84703942 0.07323633 0.07972426]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34643757 0.22986708 0.42369535 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13816938 0.         0.14749092 0.7143397 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3595728  0.13569785 0.42155625 0.0831731 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19286199 0.31514687 0.49199115]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62162104 0.23459126 0.         0.1437877 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4202658  0.28324712 0.11090729 0.1855798 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37964296 0.62035704 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58634685 0.         0.15473574 0.25891741]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548813 0.15343073 0.66108114]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37407123 0.62592877]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81214259 0.         0.         0.18785741]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48368421 0.         0.51631579 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1105042  0.59727841 0.13964087 0.15257653]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77219752 0.22780248]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27439353 0.         0.34674294 0.37886353]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47879216 0.52120784]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16455816 0.30952185 0.26801303 0.25790696]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42003913 0.         0.         0.57996087]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24223257 0.53503189 0.22273554]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22174869 0.41709305 0.36115826 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.53593621 0.46406379 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54729363 0.45270637 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.70606345 0.29393655]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35171403 0.64828597 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.83802897 0.         0.16197103]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17144832 0.09765849 0.12174898 0.10424698 0.50489722]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3595728  0.13569785 0.42155625 0.0831731 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10213731 0.53515486 0.25927515 0.10343268]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19286199 0.31514687 0.49199115]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21972331 0.         0.55776671 0.22250998]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20374883 0.61486318 0.18138799]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1105042  0.59727841 0.13964087 0.15257653]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52902974 0.         0.47097026]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16455816 0.30952185 0.26801303 0.25790696]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49684932 0.         0.         0.50315068]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39219268 0.14800814 0.45979917 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28161072 0.         0.71838928]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.72601274 0.27398726 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34628835 0.19724892 0.24590648 0.21055625 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24223257 0.53503189 0.22273554]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548813 0.15343073 0.66108114]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4202658  0.28324712 0.11090729 0.1855798 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58634685 0.         0.15473574 0.25891741]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54729363 0.45270637 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31164755 0.68835245 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.431377   0.         0.30632968 0.26229332 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11163621 0.07407248 0.1365318  0.6777595 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.84703942 0.07323633 0.07972426]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34643757 0.22986708 0.42369535 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44984127 0.         0.55015873 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.53872193 0.46127807 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27439353 0.         0.34674294 0.37886353]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37407123 0.62592877]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23832493 0.         0.3881557  0.37351937]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47786638 0.52213362]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47879216 0.52120784]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.50960799 0.49039201]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17144832 0.09765849 0.12174898 0.10424698 0.50489722]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3595728  0.13569785 0.42155625 0.0831731 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34628835 0.19724892 0.24590648 0.21055625 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11163621 0.07407248 0.1365318  0.6777595 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.84703942 0.07323633 0.07972426]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16455816 0.30952185 0.26801303 0.25790696]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1105042  0.59727841 0.13964087 0.15257653]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.92041915 0.07958085 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34643757 0.22986708 0.42369535 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548813 0.15343073 0.66108114]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4202658  0.28324712 0.11090729 0.1855798 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54729363 0.45270637 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44984127 0.         0.55015873 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.30173689 0.37616965 0.32209346 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12843962 0.69421987 0.         0.17734051]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20374883 0.61486318 0.18138799]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10213731 0.53515486 0.25927515 0.10343268]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19286199 0.31514687 0.49199115]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.488581   0.19130713 0.32011187]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.39044979 0.60955021]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21188645 0.65824227 0.12987128]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21972331 0.         0.55776671 0.22250998]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.44510101 0.55489899 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24223257 0.53503189 0.22273554]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52096598 0.         0.47903402]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.71483196 0.28516804]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77219752 0.22780248]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42003913 0.         0.         0.57996087]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22174869 0.41709305 0.36115826 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37407123 0.62592877]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61999023 0.         0.38000977]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.53593621 0.46406379 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17144832 0.09765849 0.12174898 0.10424698 0.50489722]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3595728  0.13569785 0.42155625 0.0831731 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34628835 0.19724892 0.24590648 0.21055625 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1105042  0.59727841 0.13964087 0.15257653]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20374883 0.61486318 0.18138799]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27439353 0.         0.34674294 0.37886353]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43864854 0.2498581  0.31149336 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11163621 0.07407248 0.1365318  0.6777595 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.84703942 0.07323633 0.07972426]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34643757 0.22986708 0.42369535 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.44510101 0.55489899 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10213731 0.53515486 0.25927515 0.10343268]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21188645 0.65824227 0.12987128]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19286199 0.31514687 0.49199115]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11392041 0.59689311 0.28918648 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52902974 0.         0.47097026]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16455816 0.30952185 0.26801303 0.25790696]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47879216 0.52120784]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22481023 0.42285158 0.         0.35233819]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16026764 0.83973236 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28161072 0.         0.71838928]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4202658  0.28324712 0.11090729 0.1855798 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61999023 0.         0.38000977]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24223257 0.53503189 0.22273554]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47786638 0.52213362]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38951892 0.         0.         0.61048108]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58634685 0.         0.15473574 0.25891741]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.69368466 0.         0.         0.30631534]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548813 0.15343073 0.66108114]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35171403 0.64828597 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.70606345 0.29393655]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54729363 0.45270637 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 76, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15894059 0.09560063 0.14535843 0.11486802 0.48523234]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12238112 0.57519116 0.13199316 0.17043457]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81393241 0.08800131 0.09806628]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10659997 0.07859272 0.15029866 0.66450865]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27223582 0.48468628 0.2430779 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12545581 0.09249452 0.         0.78204967]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47295346 0.52704654]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14099096 0.6626574  0.         0.19635164]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17852628 0.3215414  0.25398971 0.2459426 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20221866 0.62612755 0.17165379]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.17543862 0.82456138 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1795671  0.1080072  0.16422232 0.         0.54820337]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5756165 0.4243835 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.1316466  0.20016545 0.         0.66818795]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35395785 0.11605956 0.44268315 0.08729944]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.39675051 0.60324949 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11268995 0.55224768 0.21770513 0.11735724]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54087607 0.         0.45912393]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26313511 0.         0.37436288 0.36250201]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42058744 0.         0.         0.57941256]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41313696 0.28574028 0.10660665 0.19451612]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17964703 0.68522333 0.13512963]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1803922 0.3538643 0.4657435]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14405048 0.70593289 0.         0.15001663]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27918624 0.         0.72081376]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57071267 0.         0.42928733]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5129053  0.35474363 0.13235106 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79488608 0.         0.20511392 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20240084 0.17500449 0.62259467]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48985581 0.         0.         0.51014419]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52829143 0.         0.47170857]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53629566 0.46370434 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15894059 0.09560063 0.14535843 0.11486802 0.48523234]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35395785 0.11605956 0.44268315 0.08729944]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30876179 0.18571607 0.28237677 0.22314538 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12238112 0.57519116 0.13199316 0.17043457]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81393241 0.08800131 0.09806628]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10659997 0.07859272 0.15029866 0.66450865]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47295346 0.52704654]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17852628 0.3215414  0.25398971 0.2459426 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14099096 0.6626574  0.         0.19635164]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20221866 0.62612755 0.17165379]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41794591 0.         0.         0.58205409]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39745118 0.23906155 0.36348727 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31774282 0.23426154 0.44799564 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27223582 0.48468628 0.2430779 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.39675051 0.60324949 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11268995 0.55224768 0.21770513 0.11735724]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54087607 0.         0.45912393]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23930807 0.4310147  0.         0.32967723]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35700423 0.64299577 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14405048 0.70593289 0.         0.15001663]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1803922 0.3538643 0.4657435]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48985581 0.         0.         0.51014419]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17964703 0.68522333 0.13512963]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27918624 0.         0.72081376]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57071267 0.         0.42928733]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66599359 0.33400641]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5756165 0.4243835 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20240084 0.17500449 0.62259467]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.21941408 0.78058592]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41313696 0.28574028 0.10660665 0.19451612]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5129053  0.35474363 0.13235106 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.72828474 0.27171526 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15894059 0.09560063 0.14535843 0.11486802 0.48523234]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35395785 0.11605956 0.44268315 0.08729944]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30876179 0.18571607 0.28237677 0.22314538 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10659997 0.07859272 0.15029866 0.66450865]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81393241 0.08800131 0.09806628]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31774282 0.23426154 0.44799564 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.26867159 0.40850862 0.32281979 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11268995 0.55224768 0.21770513 0.11735724]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1803922 0.3538643 0.4657435]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25167921 0.         0.48621776 0.26210302]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.4542274 0.        0.5457726 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12238112 0.57519116 0.13199316 0.17043457]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17852628 0.3215414  0.25398971 0.2459426 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47295346 0.52704654]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23930807 0.4310147  0.         0.32967723]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14752437 0.69336442 0.15911121 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20221866 0.62612755 0.17165379]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.48110649 0.         0.51889351 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27223582 0.48468628 0.2430779 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17964703 0.68522333 0.13512963]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27918624 0.         0.72081376]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57071267 0.         0.42928733]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.        0.        0.6497451 0.3502549]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54087607 0.         0.45912393]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35700423 0.64299577 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41313696 0.28574028 0.10660665 0.19451612]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57841279 0.         0.14925474 0.27233247]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20240084 0.17500449 0.62259467]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66599359 0.33400641]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34336251 0.65663749 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.24533568 0.         0.75466432]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35403052 0.64596948]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15894059 0.09560063 0.14535843 0.11486802 0.48523234]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10659997 0.07859272 0.15029866 0.66450865]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81393241 0.08800131 0.09806628]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31774282 0.23426154 0.44799564 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.11366691 0.17282778 0.1365754  0.57692991]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11268995 0.55224768 0.21770513 0.11735724]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1803922 0.3538643 0.4657435]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35395785 0.11605956 0.44268315 0.08729944]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33765092 0.66234908 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41313696 0.28574028 0.10660665 0.19451612]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63511062 0.20824699 0.         0.15664238]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13741626 0.         0.1651112  0.69747254]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57071267 0.         0.42928733]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5129053  0.35474363 0.13235106 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20240084 0.17500449 0.62259467]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.72828474 0.27171526 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25167921 0.         0.48621776 0.26210302]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20221866 0.62612755 0.17165379]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17852628 0.3215414  0.25398971 0.2459426 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39142019 0.30918788 0.29939193]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24412336 0.75587664 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12238112 0.57519116 0.13199316 0.17043457]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48985581 0.         0.         0.51014419]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.4542274 0.        0.5457726 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27223582 0.48468628 0.2430779 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34336251 0.65663749 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52829143 0.         0.47170857]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53629566 0.46370434 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28808514 0.         0.3107119  0.40120296]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.        0.        0.5080482 0.4919518]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.48110649 0.         0.51889351 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47295346 0.52704654]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15894059 0.09560063 0.14535843 0.11486802 0.48523234]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35395785 0.11605956 0.44268315 0.08729944]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1803922 0.3538643 0.4657435]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11268995 0.55224768 0.21770513 0.11735724]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27918624 0.         0.72081376]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63511062 0.20824699 0.         0.15664238]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41313696 0.28574028 0.10660665 0.19451612]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20240084 0.17500449 0.62259467]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48689431 0.18165507 0.33145062]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35403052 0.64596948]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80215751 0.         0.         0.19784249]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25167921 0.         0.48621776 0.26210302]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20221866 0.62612755 0.17165379]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12238112 0.57519116 0.13199316 0.17043457]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17852628 0.3215414  0.25398971 0.2459426 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14752437 0.69336442 0.15911121 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54087607 0.         0.45912393]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48985581 0.         0.         0.51014419]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30876179 0.18571607 0.28237677 0.22314538 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.48110649 0.         0.51889351 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39745118 0.23906155 0.36348727 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62441985 0.37558015 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27223582 0.48468628 0.2430779 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10659997 0.07859272 0.15029866 0.66450865]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66599359 0.33400641]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12545581 0.09249452 0.         0.78204967]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81393241 0.08800131 0.09806628]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5756165 0.4243835 0.        0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53629566 0.46370434 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23675423 0.42641502 0.33683074 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41276226 0.         0.58723774 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47295346 0.52704654]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
Iteration 77, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15558616 0.10496988 0.10739598 0.0994907  0.53255728]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10606736 0.55786714 0.22496526 0.11110024]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17430591 0.1175996  0.         0.11146118 0.5966333 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2718709  0.49627043 0.23185867]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09432562 0.07466639 0.12478144 0.70622655]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80667775 0.08796332 0.10535893]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32108284 0.25416318 0.42475398 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53971598 0.         0.46028402]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19753608 0.         0.         0.12631588 0.67614804]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10345366 0.61812256 0.12557741 0.15284637]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45500878 0.54499122]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16384771 0.33613702 0.25182885 0.24818642]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11831083 0.70689226 0.         0.17479691]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24329582 0.58809301 0.16861117]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21793662 0.44710155 0.33496183 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.29263783 0.70736217 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40364279 0.         0.         0.59635721]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39417116 0.         0.60582884 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22609554 0.         0.         0.         0.77390446]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36383973 0.12519481 0.42609148 0.08487399]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4089562  0.28738487 0.114372   0.18928693]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20273638 0.34307674 0.45418688]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.62405948 0.25165795 0.12428257]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30861501 0.         0.69138499]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57388088 0.         0.16049617 0.26562295]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21226355 0.17713337 0.61060308]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55816613 0.44183387 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.22486375 0.77513625]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37664625 0.62335375]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41590943 0.         0.48707013 0.09702044]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81085047 0.         0.         0.18914953]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.66940896 0.33059104]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15558616 0.10496988 0.10739598 0.0994907  0.53255728]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36383973 0.12519481 0.42609148 0.08487399]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4089562  0.28738487 0.114372   0.18928693]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21226355 0.17713337 0.61060308]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48623278 0.1935085  0.32025872]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20273638 0.34307674 0.45418688]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41590943 0.         0.48707013 0.09702044]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37143918 0.62856082 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37664625 0.62335375]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16384771 0.33613702 0.25182885 0.24818642]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10345366 0.61812256 0.12557741 0.15284637]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24329582 0.58809301 0.16861117]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27090802 0.         0.32884218 0.4002498 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21793662 0.44710155 0.33496183 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80667775 0.08796332 0.10535893]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09432562 0.07466639 0.12478144 0.70622655]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2718709  0.49627043 0.23185867]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3328454  0.22456201 0.22975218 0.21284041 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45170142 0.         0.54829858 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45500878 0.54499122]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.32770543 0.67229457 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81085047 0.         0.         0.18914953]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42284361 0.28528143 0.29187496 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10777378 0.08531171 0.         0.8069145 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54510844 0.45489156 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1178257 0.        0.        0.8821743]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.49428791 0.50571209 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10606736 0.55786714 0.22496526 0.11110024]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.59065718 0.         0.40934282]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13685497 0.7197963  0.         0.14334873]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48841244 0.         0.         0.51158756]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68156929 0.31843071]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15558616 0.10496988 0.10739598 0.0994907  0.53255728]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2718709  0.49627043 0.23185867]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17383343 0.         0.11999147 0.11115905 0.59501604]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36383973 0.12519481 0.42609148 0.08487399]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42923536 0.         0.29628698 0.27447767 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09432562 0.07466639 0.12478144 0.70622655]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68156929 0.31843071]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10777378 0.08531171 0.         0.8069145 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21226355 0.17713337 0.61060308]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1178257 0.        0.        0.8821743]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80667775 0.08796332 0.10535893]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.51910534 0.48089466 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10606736 0.55786714 0.22496526 0.11110024]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20273638 0.34307674 0.45418688]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23989929 0.         0.50881822 0.25128249]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24329582 0.58809301 0.16861117]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16384771 0.33613702 0.25182885 0.24818642]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.29263783 0.70736217 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10345366 0.61812256 0.12557741 0.15284637]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.68944853 0.14006795 0.17048351]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48841244 0.         0.         0.51158756]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.45102976 0.54897024]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24680953 0.         0.3793386  0.37385187]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45500878 0.54499122]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39417116 0.         0.60582884 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4089562  0.28738487 0.114372   0.18928693]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.22486375 0.77513625]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48623278 0.1935085  0.32025872]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30861501 0.         0.69138499]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19679759 0.66978637 0.13341604]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37664625 0.62335375]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59597051 0.         0.40402949]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15558616 0.10496988 0.10739598 0.0994907  0.53255728]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36383973 0.12519481 0.42609148 0.08487399]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3328454  0.22456201 0.22975218 0.21284041 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2718709  0.49627043 0.23185867]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09432562 0.07466639 0.12478144 0.70622655]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80667775 0.08796332 0.10535893]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32108284 0.25416318 0.42475398 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53971598 0.         0.46028402]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21226355 0.17713337 0.61060308]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4089562  0.28738487 0.114372   0.18928693]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54510844 0.45489156 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42923536 0.         0.29628698 0.27447767 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10345366 0.61812256 0.12557741 0.15284637]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16384771 0.33613702 0.25182885 0.24818642]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24329582 0.58809301 0.16861117]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10606736 0.55786714 0.22496526 0.11110024]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20273638 0.34307674 0.45418688]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23989929 0.         0.50881822 0.25128249]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.        0.7771769 0.2228231]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12211912 0.72964636 0.14823452 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24680953 0.         0.3793386  0.37385187]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45170142 0.         0.54829858 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45500878 0.54499122]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59162253 0.         0.40837747 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48841244 0.         0.         0.51158756]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55816613 0.44183387 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48623278 0.1935085  0.32025872]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19679759 0.66978637 0.13341604]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30861501 0.         0.69138499]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.71532036 0.28467964 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59597051 0.         0.40402949]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39417116 0.         0.60582884 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15558616 0.10496988 0.10739598 0.0994907  0.53255728]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2718709  0.49627043 0.23185867]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09432562 0.07466639 0.12478144 0.70622655]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80667775 0.08796332 0.10535893]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10345366 0.61812256 0.12557741 0.15284637]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16384771 0.33613702 0.25182885 0.24818642]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24329582 0.58809301 0.16861117]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10606736 0.55786714 0.22496526 0.11110024]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20273638 0.34307674 0.45418688]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23989929 0.         0.50881822 0.25128249]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36383973 0.12519481 0.42609148 0.08487399]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30861501 0.         0.69138499]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63396816 0.21814419 0.         0.14788766]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.32041362 0.         0.67958638 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.        0.7771769 0.2228231]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12211912 0.72964636 0.14823452 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24680953 0.         0.3793386  0.37385187]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45170142 0.         0.54829858 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17383343 0.         0.11999147 0.11115905 0.59501604]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8844795 0.        0.1155205]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32108284 0.25416318 0.42475398 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21226355 0.17713337 0.61060308]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4089562  0.28738487 0.114372   0.18928693]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54510844 0.45489156 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53971598 0.         0.46028402]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43050012 0.         0.56949988 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19557316 0.         0.13499769 0.         0.66942915]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.74399598 0.25600402 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59162253 0.         0.40837747 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48623278 0.1935085  0.32025872]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.37664625 0.62335375]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39417116 0.         0.60582884 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
Iteration 78, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19261006 0.11949545 0.09475901 0.0925582  0.50057727]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09475557 0.07241346 0.12147411 0.71135686]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79393555 0.0945706  0.11149385]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32827931 0.2508754  0.42084529 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27826726 0.51730245 0.20443029]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5668249 0.4331751 0.        0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.25802961 0.14926095 0.59270945]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42220176 0.27971558 0.10453721 0.19354545]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33046771 0.14076385 0.45321283 0.07555562]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14800216 0.11736462 0.11463878 0.61999444]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21024206 0.67690959 0.11284835]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23703372 0.32772726 0.43523902]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65072206 0.         0.34927794]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10362671 0.55635705 0.23111118 0.10890506]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41970626 0.58029374 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52352827 0.34684606 0.12962566 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.63352711 0.36647289 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57648368 0.         0.42351632]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.38947367 0.30884974 0.30167659 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50587456 0.49412544 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1031664  0.65484652 0.1067118  0.13527529]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15929043 0.3230434  0.23694673 0.28071944]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11930548 0.757289   0.12340552 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25070743 0.57956607 0.1697265 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22145799 0.44912016 0.32942185 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.30195764 0.69804236 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49155366 0.         0.50844634 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23358133 0.         0.5209396  0.24547907]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48758221 0.         0.         0.51241779]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.72794679 0.27205321 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4020078 0.        0.5979922 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.       0.458937 0.541063]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19261006 0.11949545 0.09475901 0.0925582  0.50057727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10362671 0.55635705 0.23111118 0.10890506]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25070743 0.57956607 0.1697265 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1031664  0.65484652 0.1067118  0.13527529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.59630637 0.         0.40369363]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13477463 0.72358582 0.         0.14163954]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23703372 0.32772726 0.43523902]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42220176 0.27971558 0.10453721 0.19354545]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.25802961 0.14926095 0.59270945]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48410598 0.18092337 0.33497065]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33046771 0.14076385 0.45321283 0.07555562]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21277214 0.13200403 0.         0.10224703 0.55297681]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27826726 0.51730245 0.20443029]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09475557 0.07241346 0.12147411 0.71135686]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79393555 0.0945706  0.11149385]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32827931 0.2508754  0.42084529 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.63352711 0.36647289 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43821724 0.         0.56178276 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24513033 0.         0.         0.11779666 0.63707301]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57648368 0.         0.42351632]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.       0.       0.       0.156049 0.843951]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21024206 0.67690959 0.11284835]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.42954357 0.57045643]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48758221 0.         0.         0.51241779]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29890006 0.         0.30917202 0.39192792]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.44098138 0.55901862]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15929043 0.3230434  0.23694673 0.28071944]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23530375 0.         0.35001761 0.41467864]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.       0.458937 0.541063]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4020078 0.        0.5979922 0.       ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.72794679 0.27205321 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65072206 0.         0.34927794]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19261006 0.11949545 0.09475901 0.0925582  0.50057727]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33046771 0.14076385 0.45321283 0.07555562]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38566539 0.23926715 0.18973708 0.18533037 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1031664  0.65484652 0.1067118  0.13527529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25070743 0.57956607 0.1697265 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15929043 0.3230434  0.23694673 0.28071944]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29890006 0.         0.30917202 0.39192792]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79393555 0.0945706  0.11149385]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09475557 0.07241346 0.12147411 0.71135686]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.       0.458937 0.541063]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22145799 0.44912016 0.32942185 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.4326693 0.        0.        0.5673307]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.47340097 0.29369838 0.23290065 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27826726 0.51730245 0.20443029]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32827931 0.2508754  0.42084529 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.67025327 0.         0.32974673 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.37348172 0.62651828 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.25802961 0.14926095 0.59270945]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57648368 0.         0.42351632]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.30330053 0.         0.69669947]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42220176 0.27971558 0.10453721 0.19354545]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33024934 0.66975066 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.30195764 0.69804236 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10362671 0.55635705 0.23111118 0.10890506]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23703372 0.32772726 0.43523902]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21024206 0.67690959 0.11284835]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47149    0.31236986 0.         0.21614014]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23358133 0.         0.5209396  0.24547907]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.59103869 0.         0.40896131]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41970626 0.58029374 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48758221 0.         0.         0.51241779]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.        0.8571102 0.1428898]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19261006 0.11949545 0.09475901 0.0925582  0.50057727]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27826726 0.51730245 0.20443029]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09475557 0.07241346 0.12147411 0.71135686]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79393555 0.0945706  0.11149385]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32827931 0.2508754  0.42084529 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57648368 0.         0.42351632]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21874965 0.         0.10761899 0.1051195  0.56851185]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1031664  0.65484652 0.1067118  0.13527529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25070743 0.57956607 0.1697265 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10362671 0.55635705 0.23111118 0.10890506]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23703372 0.32772726 0.43523902]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33046771 0.14076385 0.45321283 0.07555562]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23358133 0.         0.5209396  0.24547907]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24444566 0.         0.12026074 0.         0.6352936 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5668249 0.4331751 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.15916888 0.         0.84083112]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35747711 0.1522686  0.49025429 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41970626 0.58029374 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42220176 0.27971558 0.10453721 0.19354545]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.25802961 0.14926095 0.59270945]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48410598 0.18092337 0.33497065]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.        0.        0.6797063 0.3202937]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77348434 0.22651566]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29890006 0.         0.30917202 0.39192792]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.70128518 0.29871482 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35069871 0.64930129]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15929043 0.3230434  0.23694673 0.28071944]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23530375 0.         0.35001761 0.41467864]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.       0.458937 0.541063]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36201558 0.         0.         0.63798442]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.44098138 0.55901862]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.63352711 0.36647289 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19261006 0.11949545 0.09475901 0.0925582  0.50057727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10362671 0.55635705 0.23111118 0.10890506]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23703372 0.32772726 0.43523902]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33046771 0.14076385 0.45321283 0.07555562]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41970626 0.58029374 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42220176 0.27971558 0.10453721 0.19354545]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.25802961 0.14926095 0.59270945]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27826726 0.51730245 0.20443029]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09475557 0.07241346 0.12147411 0.71135686]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79393555 0.0945706  0.11149385]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32827931 0.2508754  0.42084529 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57648368 0.         0.42351632]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21277214 0.13200403 0.         0.10224703 0.55297681]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60438087 0.2574381  0.         0.13818103]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.47597562 0.2952957  0.         0.22872868 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5668249 0.4331751 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.56351519 0.         0.43648481 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1031664  0.65484652 0.1067118  0.13527529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25070743 0.57956607 0.1697265 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23358133 0.         0.5209396  0.24547907]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77348434 0.22651566]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29890006 0.         0.30917202 0.39192792]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15929043 0.3230434  0.23694673 0.28071944]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49155366 0.         0.50844634 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.       0.458937 0.541063]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22145799 0.44912016 0.32942185 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4020078 0.        0.5979922 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.30330053 0.         0.69669947]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.48410598 0.18092337 0.33497065]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.59103869 0.         0.40896131]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65072206 0.         0.34927794]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48758221 0.         0.         0.51241779]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 79, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15339601 0.11105955 0.07999263 0.09323303 0.56231878]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27303734 0.5114465  0.21551616]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21954515 0.15549003 0.62496482]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45666985 0.28213768 0.09591273 0.16527974]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58539882 0.41460118 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1067948  0.06839479 0.12348103 0.70132938]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34804711 0.65195289 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11463525 0.         0.13254652 0.75281823]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79166051 0.09632873 0.11201076]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09236925 0.64115642 0.1018724  0.16460192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.276436   0.56658381 0.1569802 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25740812 0.         0.28389084 0.45870104]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1725605  0.         0.08998649 0.10488108 0.63257193]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.2870999  0.14511389 0.49029943 0.07748678]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18372853 0.33973125 0.47654022]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.56327169 0.2847042  0.         0.15202412]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10247614 0.5568466  0.22965371 0.11102355]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.66425437 0.33574563 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4696443  0.         0.24490914 0.28544655 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.38229725 0.61770275]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14804    0.33924576 0.21590308 0.29681117]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51927485 0.17652752 0.30419762]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35098882 0.64901118 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36721092 0.63278908]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39819446 0.25341927 0.34838627]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87604922 0.         0.12395078]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.46376903 0.         0.53623097 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.65725567 0.         0.34274433 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11527431 0.62639072 0.25833498 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.3085424 0.        0.6914576 0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.63780727 0.         0.36219273]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.53335754 0.         0.46664246]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15339601 0.11105955 0.07999263 0.09323303 0.56231878]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.2870999  0.14511389 0.49029943 0.07748678]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35047427 0.2537453  0.1827646  0.21301583 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09236925 0.64115642 0.1018724  0.16460192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.276436   0.56658381 0.1569802 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10247614 0.5568466  0.22965371 0.11102355]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18372853 0.33973125 0.47654022]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45666985 0.28213768 0.09591273 0.16527974]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21954515 0.15549003 0.62496482]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51927485 0.17652752 0.30419762]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20355432 0.68775334 0.10869234]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23124305 0.         0.51822622 0.25053073]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78304587 0.21695413]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14804    0.33924576 0.21590308 0.29681117]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25740812 0.         0.28389084 0.45870104]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4453384  0.32242745 0.23223415 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27303734 0.5114465  0.21551616]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58539882 0.41460118 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34804711 0.65195289 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1067948  0.06839479 0.12348103 0.70132938]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.65725567 0.         0.34274433 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12183969 0.07803001 0.         0.8001303 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79166051 0.09632873 0.11201076]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60959558 0.39040442 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47998264 0.         0.         0.52001736]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.22837717 0.77162283 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41619885 0.58380115]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74629646 0.25370354 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46236423 0.53763577]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.38229725 0.61770275]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22404699 0.         0.32675247 0.44920054]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.42109827 0.57890173]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15339601 0.11105955 0.07999263 0.09323303 0.56231878]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.2870999  0.14511389 0.49029943 0.07748678]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18372853 0.33973125 0.47654022]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45666985 0.28213768 0.09591273 0.16527974]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.56327169 0.2847042  0.         0.15202412]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.54709329 0.33800268 0.11490403 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41619885 0.58380115]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.78746679 0.         0.         0.21253321]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35047427 0.2537453  0.1827646  0.21301583 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1067948  0.06839479 0.12348103 0.70132938]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79166051 0.09632873 0.11201076]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35756713 0.22899738 0.41343549 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.39066243 0.28138161 0.32795596 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27303734 0.5114465  0.21551616]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21954515 0.15549003 0.62496482]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.        0.3564534 0.6435466 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34804711 0.65195289 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.46178281 0.53821719 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09236925 0.64115642 0.1018724  0.16460192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.276436   0.56658381 0.1569802 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14804    0.33924576 0.21590308 0.29681117]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.32791163 0.67208837 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10247614 0.5568466  0.22965371 0.11102355]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11527431 0.62639072 0.25833498 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.3085424 0.        0.6914576 0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25740812 0.         0.28389084 0.45870104]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22404699 0.         0.32675247 0.44920054]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.82642825 0.         0.17357175 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19923001 0.80076999]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.42109827 0.57890173]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47553781 0.         0.52446219 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46236423 0.53763577]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15339601 0.11105955 0.07999263 0.09323303 0.56231878]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10247614 0.5568466  0.22965371 0.11102355]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18372853 0.33973125 0.47654022]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45666985 0.28213768 0.09591273 0.16527974]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41619885 0.58380115]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.2870999  0.14511389 0.49029943 0.07748678]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23124305 0.         0.51822622 0.25053073]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.56327169 0.2847042  0.         0.15202412]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16673345 0.12071594 0.         0.10133944 0.61121117]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65190231 0.         0.34809769]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.63615242 0.         0.1336088  0.23023877]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.3085424 0.        0.6914576 0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.276436   0.56658381 0.1569802 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42885351 0.3104923  0.         0.26065419 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27303734 0.5114465  0.21551616]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21954515 0.15549003 0.62496482]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34804711 0.65195289 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1067948  0.06839479 0.12348103 0.70132938]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79166051 0.09632873 0.11201076]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35756713 0.22899738 0.41343549 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62197059 0.         0.         0.37802941 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09236925 0.64115642 0.1018724  0.16460192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78304587 0.21695413]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25740812 0.         0.28389084 0.45870104]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14804    0.33924576 0.21590308 0.29681117]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.82642825 0.         0.17357175 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.2599675 0.        0.7400325]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39819446 0.25341927 0.34838627]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47553781 0.         0.52446219 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46236423 0.53763577]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60959558 0.39040442 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.61108974 0.38891026 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15339601 0.11105955 0.07999263 0.09323303 0.56231878]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.2870999  0.14511389 0.49029943 0.07748678]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35047427 0.2537453  0.1827646  0.21301583 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1067948  0.06839479 0.12348103 0.70132938]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79166051 0.09632873 0.11201076]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35756713 0.22899738 0.41343549 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27303734 0.5114465  0.21551616]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60959558 0.39040442 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.39066243 0.28138161 0.32795596 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55886886 0.         0.44113114]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21954515 0.15549003 0.62496482]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45666985 0.28213768 0.09591273 0.16527974]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20355432 0.68775334 0.10869234]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18372853 0.33973125 0.47654022]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10247614 0.5568466  0.22965371 0.11102355]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65190231 0.         0.34809769]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11527431 0.62639072 0.25833498 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.46178281 0.53821719 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09236925 0.64115642 0.1018724  0.16460192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.276436   0.56658381 0.1569802 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25740812 0.         0.28389084 0.45870104]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46236423 0.53763577]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14804    0.33924576 0.21590308 0.29681117]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35945375 0.         0.         0.64054625]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21052666 0.48243905 0.30703428 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.70800557 0.29199443 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27826325 0.         0.72173675]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.54709329 0.33800268 0.11490403 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58539882 0.41460118 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.63780727 0.         0.36219273]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.30380531 0.69619469 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74629646 0.25370354 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
Iteration 80, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17973811 0.11420297 0.09260294 0.11590641 0.49754957]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31310323 0.13548048 0.4745682  0.07684809]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2025995  0.33633859 0.46106192]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59589699 0.25784598 0.         0.14625702]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43614584 0.28838516 0.09944499 0.17602401]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80292902 0.         0.         0.19707098]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10960668 0.55245624 0.23078918 0.1071479 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37592351 0.62407649 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24490718 0.         0.51567959 0.23941324]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35772307 0.22729201 0.18430264 0.23068229 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28676173 0.49707386 0.21616441]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.46294728 0.         0.23851525 0.29853747 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.32199768 0.         0.67800232 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26514355 0.57021945 0.164637  ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08850114 0.63805484 0.11083044 0.16261359]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15601907 0.33370771 0.22510194 0.28517128]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10568734 0.76195986 0.1323528  0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.61692775 0.         0.38307225]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60795345 0.         0.         0.39204655 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10141556 0.06316623 0.11980533 0.71561288]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69692539 0.30307461]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11521946 0.07176393 0.         0.81301661]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79852499 0.09792764 0.10354737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61620159 0.38379841 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20130986 0.15942755 0.63926259]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52931863 0.34999219 0.12068918 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.81432657 0.         0.18567343 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55805096 0.44194904 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44398956 0.         0.55601044 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21826077 0.46683591 0.31490332 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40936885 0.         0.59063115 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48605354 0.51394646]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17973811 0.11420297 0.09260294 0.11590641 0.49754957]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31310323 0.13548048 0.4745682  0.07684809]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35772307 0.22729201 0.18430264 0.23068229 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10141556 0.06316623 0.11980533 0.71561288]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79852499 0.09792764 0.10354737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35661094 0.22211353 0.42127553 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35388475 0.28695198 0.35916328 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28676173 0.49707386 0.21616441]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34522429 0.65477571 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20130986 0.15942755 0.63926259]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43614584 0.28838516 0.09944499 0.17602401]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55805096 0.44194904 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57018657 0.         0.42981343]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.44411887 0.55588113 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08850114 0.63805484 0.11083044 0.16261359]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26514355 0.57021945 0.164637  ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24451532 0.         0.30620781 0.44927686]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48605354 0.51394646]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15601907 0.33370771 0.22510194 0.28517128]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.61692775 0.         0.38307225]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2341601  0.         0.33784263 0.42799727]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35243309 0.         0.         0.64756691]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10960668 0.55245624 0.23078918 0.1071479 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2025995  0.33633859 0.46106192]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51145346 0.1763665  0.31218004]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19723558 0.69088722 0.11187721]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.4217938 0.5782062]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.63806995 0.         0.36193005]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74358624 0.25641376 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3536321 0.        0.        0.6463679]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24490718 0.         0.51567959 0.23941324]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.5056718 0.        0.        0.4943282]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17973811 0.11420297 0.09260294 0.11590641 0.49754957]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28676173 0.49707386 0.21616441]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20130986 0.15942755 0.63926259]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10141556 0.06316623 0.11980533 0.71561288]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36584423 0.63415577 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20291116 0.         0.10454194 0.13084986 0.56169704]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11521946 0.07176393 0.         0.81301661]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79852499 0.09792764 0.10354737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61620159 0.38379841 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19961127 0.80038873]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43614584 0.28838516 0.09944499 0.17602401]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.13115469 0.16415969 0.70468562]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31310323 0.13548048 0.4745682  0.07684809]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2025995  0.33633859 0.46106192]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10960668 0.55245624 0.23078918 0.1071479 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30527539 0.         0.69472461]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59589699 0.25784598 0.         0.14625702]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.44411887 0.55588113 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24490718 0.         0.51567959 0.23941324]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08850114 0.63805484 0.11083044 0.16261359]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26514355 0.57021945 0.164637  ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24451532 0.         0.30620781 0.44927686]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48605354 0.51394646]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15601907 0.33370771 0.22510194 0.28517128]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35243309 0.         0.         0.64756691]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21826077 0.46683591 0.31490332 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51145346 0.1763665  0.31218004]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.63806995 0.         0.36193005]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74358624 0.25641376 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.       0.597176 0.402824 0.      ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68293536 0.31706464]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.61692775 0.         0.38307225]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17973811 0.11420297 0.09260294 0.11590641 0.49754957]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10141556 0.06316623 0.11980533 0.71561288]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79852499 0.09792764 0.10354737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35661094 0.22211353 0.42127553 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13922744 0.11289436 0.14130415 0.60657404]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31310323 0.13548048 0.4745682  0.07684809]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43614584 0.28838516 0.09944499 0.17602401]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20130986 0.15942755 0.63926259]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51145346 0.1763665  0.31218004]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2025995  0.33633859 0.46106192]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36100246 0.63899754]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36217023 0.         0.54893867 0.0888911 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35388475 0.28695198 0.35916328 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08850114 0.63805484 0.11083044 0.16261359]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26514355 0.57021945 0.164637  ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24451532 0.         0.30620781 0.44927686]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.55222295 0.44777705 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10960668 0.55245624 0.23078918 0.1071479 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.4217938 0.5782062]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.86063507 0.13936493]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24490718 0.         0.51567959 0.23941324]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28676173 0.49707386 0.21616441]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34522429 0.65477571 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57018657 0.         0.42981343]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55805096 0.44194904 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68293536 0.31706464]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.61692775 0.         0.38307225]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15601907 0.33370771 0.22510194 0.28517128]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.39539722 0.26671448 0.3378883 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.44114002 0.55885998]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48605354 0.51394646]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.40531307 0.59468693]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17973811 0.11420297 0.09260294 0.11590641 0.49754957]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10141556 0.06316623 0.11980533 0.71561288]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79852499 0.09792764 0.10354737]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08850114 0.63805484 0.11083044 0.16261359]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15601907 0.33370771 0.22510194 0.28517128]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26514355 0.57021945 0.164637  ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2341601  0.         0.33784263 0.42799727]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88521168 0.         0.11478832]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35661094 0.22211353 0.42127553 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28676173 0.49707386 0.21616441]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20130986 0.15942755 0.63926259]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61620159 0.38379841 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13922744 0.11289436 0.14130415 0.60657404]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36584423 0.63415577 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19961127 0.80038873]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43614584 0.28838516 0.09944499 0.17602401]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31310323 0.13548048 0.4745682  0.07684809]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2025995  0.33633859 0.46106192]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52931863 0.34999219 0.12068918 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.13115469 0.16415969 0.70468562]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59589699 0.25784598 0.         0.14625702]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.44411887 0.55588113 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10960668 0.55245624 0.23078918 0.1071479 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.4217938 0.5782062]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24490718 0.         0.51567959 0.23941324]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10568734 0.76195986 0.1323528  0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.3173992 0.6826008 0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68293536 0.31706464]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.63806995 0.         0.36193005]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44398956 0.         0.55601044 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3536321 0.        0.        0.6463679]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74358624 0.25641376 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
Iteration 81, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17396409 0.11222526 0.13461907 0.10131873 0.47787285]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.24898133 0.12880479 0.55668465 0.06552923]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16703438 0.33767886 0.49528676]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078318  0.531981   0.23536191 0.12482529]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33318338 0.21493857 0.25782813 0.19404991 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08845506 0.65123902 0.10813172 0.15217419]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27464673 0.54535812 0.17999515]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25362661 0.         0.31004536 0.43632803]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15096111 0.37592279 0.20354565 0.26957045]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44995427 0.         0.55004573 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41340449 0.26668968 0.31990583 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10341323 0.06364862 0.14275952 0.69017863]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79423885 0.09821823 0.10754292]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33378341 0.2054365  0.46078009 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20153269 0.15952547 0.63894184]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29521736 0.49959363 0.20518901]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.45463983 0.54536017 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.59627882 0.2638089  0.13991228]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.60409465 0.         0.39590535]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20667443 0.51465989 0.27866568 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47734098 0.52265902]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28651684 0.71348316 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.80995114 0.         0.19004886]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25219545 0.         0.74780455]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43711677 0.27808993 0.11153956 0.17325374]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.56163481 0.29054891 0.         0.14781628]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.       0.708862 0.291138]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42008399 0.         0.57991601 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.23978441 0.         0.76021559]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6055003  0.         0.15450618 0.23999352]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.39165094 0.60834906]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.66280105 0.         0.33719895]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17396409 0.11222526 0.13461907 0.10131873 0.47787285]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10341323 0.06364862 0.14275952 0.69017863]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20153269 0.15952547 0.63894184]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43711677 0.27808993 0.11153956 0.17325374]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55817237 0.44182763 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29521736 0.49959363 0.20518901]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11044276 0.         0.15246362 0.73709362]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79423885 0.09821823 0.10754292]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42008399 0.         0.57991601 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.58995524 0.         0.41004476]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13586003 0.16296999 0.12265657 0.57851341]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.24898133 0.12880479 0.55668465 0.06552923]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16703438 0.33767886 0.49528676]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4940455  0.19815755 0.30779695]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40539351 0.59460649]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.56163481 0.29054891 0.         0.14781628]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32233536 0.38665523 0.29100942 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078318  0.531981   0.23536191 0.12482529]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23040047 0.         0.50288965 0.26670987]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.66280105 0.         0.33719895]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.39165094 0.60834906]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.31420098 0.         0.68579902 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27464673 0.54535812 0.17999515]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52553698 0.         0.47446302 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08845506 0.65123902 0.10813172 0.15217419]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75185174 0.24814826]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25362661 0.         0.31004536 0.43632803]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15096111 0.37592279 0.20354565 0.26957045]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24189493 0.         0.32615459 0.43195049]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44995427 0.         0.55004573 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47734098 0.52265902]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42583423 0.         0.57416577 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17396409 0.11222526 0.13461907 0.10131873 0.47787285]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29521736 0.49959363 0.20518901]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19595522 0.         0.15163651 0.11412662 0.53828165]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10341323 0.06364862 0.14275952 0.69017863]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.       0.708862 0.291138]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12063503 0.07424826 0.         0.80511671]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79423885 0.09821823 0.10754292]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61901166 0.38098834 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.18859212 0.14194062 0.66946725]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08845506 0.65123902 0.10813172 0.15217419]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47734098 0.52265902]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15096111 0.37592279 0.20354565 0.26957045]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09917952 0.73019642 0.         0.17062407]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27464673 0.54535812 0.17999515]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078318  0.531981   0.23536191 0.12482529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75185174 0.24814826]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36759896 0.         0.         0.63240104]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.21978913 0.         0.78021087]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.24898133 0.12880479 0.55668465 0.06552923]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14102332 0.69572914 0.         0.16324754]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.266441   0.13783715 0.59572184 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16853648 0.83146352 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16703438 0.33767886 0.49528676]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20667443 0.51465989 0.27866568 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42583423 0.         0.57416577 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20153269 0.15952547 0.63894184]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.23978441 0.         0.76021559]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43711677 0.27808993 0.11153956 0.17325374]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49199351 0.31300204 0.         0.19500445]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18790193 0.81209807 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25219545 0.         0.74780455]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.61117544 0.38882456 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17396409 0.11222526 0.13461907 0.10131873 0.47787285]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078318  0.531981   0.23536191 0.12482529]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16703438 0.33767886 0.49528676]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23040047 0.         0.50288965 0.26670987]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27464673 0.54535812 0.17999515]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46347954 0.         0.         0.53652046]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.24898133 0.12880479 0.55668465 0.06552923]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20102603 0.12968308 0.         0.11707992 0.55221098]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.17150678 0.74123943 0.08725379]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25219545 0.         0.74780455]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.66280105 0.         0.33719895]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43711677 0.27808993 0.11153956 0.17325374]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6055003  0.         0.15450618 0.23999352]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44893022 0.28960754 0.         0.26146223 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10341323 0.06364862 0.14275952 0.69017863]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79423885 0.09821823 0.10754292]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33378341 0.2054365  0.46078009 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20153269 0.15952547 0.63894184]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42008399 0.         0.57991601 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52553698 0.         0.47446302 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29521736 0.49959363 0.20518901]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.58995524 0.         0.41004476]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08845506 0.65123902 0.10813172 0.15217419]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75185174 0.24814826]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25362661 0.         0.31004536 0.43632803]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47734098 0.52265902]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15096111 0.37592279 0.20354565 0.26957045]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24189493 0.         0.32615459 0.43195049]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36759896 0.         0.         0.63240104]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42583423 0.         0.57416577 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79670413 0.         0.20329587 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19978961 0.80021039]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17396409 0.11222526 0.13461907 0.10131873 0.47787285]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10341323 0.06364862 0.14275952 0.69017863]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79423885 0.09821823 0.10754292]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33378341 0.2054365  0.46078009 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13586003 0.16296999 0.12265657 0.57851341]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.24898133 0.12880479 0.55668465 0.06552923]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16703438 0.33767886 0.49528676]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.56163481 0.29054891 0.         0.14781628]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43711677 0.27808993 0.11153956 0.17325374]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33094907 0.66905093 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078318  0.531981   0.23536191 0.12482529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27464673 0.54535812 0.17999515]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08845506 0.65123902 0.10813172 0.15217419]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.60409465 0.         0.39590535]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14102332 0.69572914 0.         0.16324754]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.79164697 0.         0.         0.20835303]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32233536 0.38665523 0.29100942 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16853648 0.83146352 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6055003  0.         0.15450618 0.23999352]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20153269 0.15952547 0.63894184]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.39165094 0.60834906]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52553698 0.         0.47446302 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25362661 0.         0.31004536 0.43632803]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47734098 0.52265902]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15096111 0.37592279 0.20354565 0.26957045]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36759896 0.         0.         0.63240104]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18954145 0.47199539 0.         0.33846316]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29521736 0.49959363 0.20518901]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55817237 0.44182763 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.30836293 0.69163707 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3714309 0.6285691 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28651684 0.71348316 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
Iteration 82, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15473184 0.12310766 0.11357331 0.10388057 0.50470662]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13207013 0.07644528 0.13929422 0.65219037]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1911791  0.16168441 0.64713649]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44358755 0.27271731 0.11206292 0.17163222]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20660213 0.32894994 0.46444793]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60992453 0.         0.1540844  0.23599107]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16994904 0.34838392 0.21446869 0.26719836]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80432088 0.09238947 0.10328965]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.14300195 0.         0.15082401 0.70617404]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47214784 0.52785216]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10786455 0.62318493 0.11869891 0.15025161]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14564332 0.13436364 0.12289659 0.59709645]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25502878 0.12192169 0.56111504 0.06193448]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41460905 0.58539095]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58108344 0.27779875 0.         0.14111781]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.72102291 0.         0.         0.27897709]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54179334 0.45820666 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.4866893 0.        0.5133107 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28461649 0.51216458 0.20321894]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3572079 0.6427921 0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36148433 0.33348835 0.30502732 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11507876 0.51620884 0.24056768 0.12814472]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23786868 0.         0.49725522 0.2648761 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54235261 0.         0.45764739 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.69853174 0.13305032 0.16841794]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25160646 0.56880262 0.17959092]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.65245346 0.34754654]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80460043 0.         0.         0.19539957]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76003144 0.23996856]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21634916 0.44350099 0.         0.34014985]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.44134106 0.55865894]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38876827 0.         0.         0.61123173]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15473184 0.12310766 0.11357331 0.10388057 0.50470662]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13207013 0.07644528 0.13929422 0.65219037]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80432088 0.09238947 0.10328965]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16994904 0.34838392 0.21446869 0.26719836]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10786455 0.62318493 0.11869891 0.15025161]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14564332 0.13436364 0.12289659 0.59709645]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25502878 0.12192169 0.56111504 0.06193448]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20660213 0.32894994 0.46444793]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58108344 0.27779875 0.         0.14111781]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36148433 0.33348835 0.30502732 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11507876 0.51620884 0.24056768 0.12814472]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25160646 0.56880262 0.17959092]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15153261 0.67972988 0.         0.16873751]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38577412 0.61422588 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44358755 0.27271731 0.11206292 0.17163222]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.66313623 0.         0.33686377]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47314003 0.         0.         0.52685997]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54235261 0.         0.45764739 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28461649 0.51216458 0.20321894]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.37971958 0.21979058 0.40048984 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.69853174 0.13305032 0.16841794]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89696843 0.10303157 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.35434067 0.64565933 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.58342726 0.         0.41657274]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1911791  0.16168441 0.64713649]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5354959 0.3292225 0.1352816 0.       ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23191684 0.47541367 0.2926695  0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.80573505 0.         0.19426495]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76003144 0.23996856]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3278762 0.6721238 0.        0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.61927201 0.38072799 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54179334 0.45820666 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15473184 0.12310766 0.11357331 0.10388057 0.50470662]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25502878 0.12192169 0.56111504 0.06193448]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11507876 0.51620884 0.24056768 0.12814472]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25160646 0.56880262 0.17959092]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15153261 0.67972988 0.         0.16873751]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20660213 0.32894994 0.46444793]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44358755 0.27271731 0.11206292 0.17163222]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.2718667  0.1299714  0.59816189 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41460905 0.58539095]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67655779 0.32344221 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5354959 0.3292225 0.1352816 0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1911791  0.16168441 0.64713649]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28461649 0.51216458 0.20321894]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13207013 0.07644528 0.13929422 0.65219037]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80432088 0.09238947 0.10328965]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.37971958 0.21979058 0.40048984 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.58342726 0.         0.41657274]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31240441 0.24855503 0.22930512 0.20973544 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.63338306 0.36661694 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22805147 0.         0.77194853]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.70876124 0.29123876 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47314003 0.         0.         0.52685997]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36148433 0.33348835 0.30502732 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54235261 0.         0.45764739 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10786455 0.62318493 0.11869891 0.15025161]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76003144 0.23996856]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28625328 0.         0.31500574 0.39874098]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16994904 0.34838392 0.21446869 0.26719836]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.41971389 0.25838014 0.32190597]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.44134106 0.55865894]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47214784 0.52785216]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.44526336 0.55473664]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15473184 0.12310766 0.11357331 0.10388057 0.50470662]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25502878 0.12192169 0.56111504 0.06193448]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31240441 0.24855503 0.22930512 0.20973544 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13207013 0.07644528 0.13929422 0.65219037]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80432088 0.09238947 0.10328965]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.37971958 0.21979058 0.40048984 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28461649 0.51216458 0.20321894]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.63338306 0.36661694 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1911791  0.16168441 0.64713649]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44358755 0.27271731 0.11206292 0.17163222]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54179334 0.45820666 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36148433 0.33348835 0.30502732 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11507876 0.51620884 0.24056768 0.12814472]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25160646 0.56880262 0.17959092]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16994904 0.34838392 0.21446869 0.26719836]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.30668415 0.69331585 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15153261 0.67972988 0.         0.16873751]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20660213 0.32894994 0.46444793]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.1636596  0.75320365 0.08313675]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38577412 0.61422588 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49013517 0.2014026  0.30846223]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26081161 0.         0.32913351 0.41005489]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47214784 0.52785216]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10786455 0.62318493 0.11869891 0.15025161]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28625328 0.         0.31500574 0.39874098]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38876827 0.         0.         0.61123173]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.61374502 0.         0.38625498]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.66313623 0.         0.33686377]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47314003 0.         0.         0.52685997]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54235261 0.         0.45764739 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.4178915 0.        0.        0.5821085]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.58342726 0.         0.41657274]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15473184 0.12310766 0.11357331 0.10388057 0.50470662]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10786455 0.62318493 0.11869891 0.15025161]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25160646 0.56880262 0.17959092]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11507876 0.51620884 0.24056768 0.12814472]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25502878 0.12192169 0.56111504 0.06193448]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44358755 0.27271731 0.11206292 0.17163222]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1911791  0.16168441 0.64713649]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13207013 0.07644528 0.13929422 0.65219037]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80432088 0.09238947 0.10328965]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.37971958 0.21979058 0.40048984 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28461649 0.51216458 0.20321894]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17266877 0.13737863 0.12673903 0.         0.56321357]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.29043968 0.         0.6390262  0.07053412]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20660213 0.32894994 0.46444793]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49013517 0.2014026  0.30846223]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16994904 0.34838392 0.21446869 0.26719836]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.76003144 0.23996856]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28625328 0.         0.31500574 0.39874098]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47214784 0.52785216]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.4178915 0.        0.        0.5821085]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26081161 0.         0.32913351 0.41005489]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38876827 0.         0.         0.61123173]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39531624 0.31452129 0.29016247 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.71593008 0.28406992]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.63338306 0.36661694 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57670097 0.         0.42329903 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13199296 0.59208088 0.27592616 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19990138 0.80009862]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.61374502 0.         0.38625498]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41460905 0.58539095]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80460043 0.         0.         0.19539957]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.        0.6821153 0.3178847 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
Iteration 83, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14588368 0.12442012 0.11220814 0.10724159 0.51024646]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28926071 0.13051188 0.50668466 0.07354275]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19421567 0.32292267 0.48286166]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43321416 0.26518276 0.11693218 0.1846709 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17543359 0.15293255 0.67163386]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.46787118 0.20630751 0.32582131]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58636066 0.26456076 0.         0.14907858]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29787162 0.25404639 0.22911145 0.21897053 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11754575 0.08208875 0.14313264 0.65723286]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79698713 0.08710126 0.11591162]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34293178 0.2394884  0.41757982 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53426211 0.46573789 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26336153 0.53246519 0.20417328]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.45092249 0.         0.54907751 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33092823 0.66907177 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.36182328 0.32630992 0.3118668  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10117977 0.611157   0.13761574 0.15004749]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24040202 0.59322244 0.16637554]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26020726 0.         0.3539108  0.38588195]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52580414 0.47419586 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10263281 0.51533791 0.27045374 0.11157554]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.63959283 0.         0.36040717]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.6939869 0.3060131 0.       ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18259372 0.31681923 0.24748386 0.25310319]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.59099135 0.         0.40900865]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26727    0.         0.36225238 0.37047762]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40075571 0.59924429]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11552227 0.58005822 0.30441951 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27509117 0.         0.72490883 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.49438726 0.50561274]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47839182 0.52160818]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.42904302 0.57095698]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14588368 0.12442012 0.11220814 0.10724159 0.51024646]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10117977 0.611157   0.13761574 0.15004749]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24040202 0.59322244 0.16637554]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18259372 0.31681923 0.24748386 0.25310319]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28838168 0.71161832 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10263281 0.51533791 0.27045374 0.11157554]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26020726 0.         0.3539108  0.38588195]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16340779 0.13936595 0.12568702 0.         0.57153924]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28926071 0.13051188 0.50668466 0.07354275]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43321416 0.26518276 0.11693218 0.1846709 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17543359 0.15293255 0.67163386]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.46787118 0.20630751 0.32582131]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33267931 0.         0.58273902 0.08458166]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19421567 0.32292267 0.48286166]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14068034 0.7063814  0.         0.15293826]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28684414 0.         0.71315586]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.79729313 0.         0.         0.20270687]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38138334 0.3252712  0.29334546 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11754575 0.08208875 0.14313264 0.65723286]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79698713 0.08710126 0.11591162]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26727    0.         0.36225238 0.37047762]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.6939869 0.3060131 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.49438726 0.50561274]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90147902 0.09852098 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34293178 0.2394884  0.41757982 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26336153 0.53246519 0.20417328]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52580414 0.47419586 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.72283109 0.27716891]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58880477 0.41119523 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53426211 0.46573789 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47912611 0.         0.         0.52087389]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47839182 0.52160818]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14588368 0.12442012 0.11220814 0.10724159 0.51024646]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28926071 0.13051188 0.50668466 0.07354275]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29787162 0.25404639 0.22911145 0.21897053 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10117977 0.611157   0.13761574 0.15004749]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24040202 0.59322244 0.16637554]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26020726 0.         0.3539108  0.38588195]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18259372 0.31681923 0.24748386 0.25310319]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.59099135 0.         0.40900865]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26727    0.         0.36225238 0.37047762]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42370885 0.         0.57629115 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38138334 0.3252712  0.29334546 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11754575 0.08208875 0.14313264 0.65723286]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79698713 0.08710126 0.11591162]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34293178 0.2394884  0.41757982 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17543359 0.15293255 0.67163386]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43321416 0.26518276 0.11693218 0.1846709 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18362835 0.71289805 0.1034736 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19421567 0.32292267 0.48286166]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.63959283 0.         0.36040717]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10263281 0.51533791 0.27045374 0.11157554]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.53133656 0.32524629 0.14341715 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53426211 0.46573789 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26336153 0.53246519 0.20417328]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.45092249 0.         0.54907751 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56329822 0.         0.43670178]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52580414 0.47419586 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11552227 0.58005822 0.30441951 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16608038 0.83391962 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37555844 0.62444156 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.42904302 0.57095698]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42455996 0.         0.57544004 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.6939869 0.3060131 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14588368 0.12442012 0.11220814 0.10724159 0.51024646]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28926071 0.13051188 0.50668466 0.07354275]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19421567 0.32292267 0.48286166]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58636066 0.26456076 0.         0.14907858]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29787162 0.25404639 0.22911145 0.21897053 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10263281 0.51533791 0.27045374 0.11157554]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37555844 0.62444156 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21176159 0.         0.55802536 0.23021305]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.63959283 0.         0.36040717]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43321416 0.26518276 0.11693218 0.1846709 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17543359 0.15293255 0.67163386]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26336153 0.53246519 0.20417328]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11754575 0.08208875 0.14313264 0.65723286]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20710699 0.         0.79289301]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.46787118 0.20630751 0.32582131]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.38770219 0.61229781]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27509117 0.         0.72490883 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24040202 0.59322244 0.16637554]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10117977 0.611157   0.13761574 0.15004749]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.59099135 0.         0.40900865]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18259372 0.31681923 0.24748386 0.25310319]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.38759089 0.30276726 0.30964185]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26020726 0.         0.3539108  0.38588195]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38640038 0.32955009 0.         0.28404953 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56329822 0.         0.43670178]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57632997 0.         0.         0.42367003 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12805786 0.         0.15593299 0.71600916]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79698713 0.08710126 0.11591162]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.56143451 0.43856549 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47839182 0.52160818]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90147902 0.09852098 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.45092249 0.         0.54907751 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14588368 0.12442012 0.11220814 0.10724159 0.51024646]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28926071 0.13051188 0.50668466 0.07354275]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19421567 0.32292267 0.48286166]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10263281 0.51533791 0.27045374 0.11157554]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28684414 0.         0.71315586]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58636066 0.26456076 0.         0.14907858]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29787162 0.25404639 0.22911145 0.21897053 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21176159 0.         0.55802536 0.23021305]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24040202 0.59322244 0.16637554]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10117977 0.611157   0.13761574 0.15004749]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79698713 0.08710126 0.11591162]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11754575 0.08208875 0.14313264 0.65723286]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.42904302 0.57095698]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18259372 0.31681923 0.24748386 0.25310319]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.59099135 0.         0.40900865]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26727    0.         0.36225238 0.37047762]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11732562 0.70868292 0.         0.17399146]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41908427 0.         0.         0.58091573]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14203924 0.85796076 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47912611 0.         0.         0.52087389]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38640038 0.32955009 0.         0.28404953 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26336153 0.53246519 0.20417328]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34293178 0.2394884  0.41757982 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56329822 0.         0.43670178]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17543359 0.15293255 0.67163386]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43321416 0.26518276 0.11693218 0.1846709 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58955361 0.         0.15913096 0.25131542]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53426211 0.46573789 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57632997 0.         0.         0.42367003 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58880477 0.41119523 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.38770219 0.61229781]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.63959283 0.         0.36040717]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
Iteration 84, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14516938 0.13838615 0.11911629 0.11572954 0.48159864]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33245768 0.12433285 0.47044264 0.07276683]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19658973 0.35276895 0.45064133]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10105545 0.54231965 0.24837706 0.10824784]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22888583 0.58591236 0.18520181]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09755797 0.63694431 0.12446591 0.14103181]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55274731 0.         0.44725269]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13444966 0.72153153 0.         0.14401881]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62780296 0.23478637 0.         0.13741067]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42797831 0.2749031  0.11401594 0.18310265]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82042835 0.         0.         0.17957165]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28003278 0.26694789 0.22977619 0.22324313 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15707081 0.84292919 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30373964 0.         0.69626036]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36357326 0.34658483 0.         0.2898419  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25748032 0.5037929  0.23872679]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19359503 0.14484297 0.661562  ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33822327 0.66177673 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55641999 0.         0.         0.44358001 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11748249 0.07119351 0.14400835 0.66731565]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77009261 0.0949099  0.13499749]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35313499 0.21399718 0.43286783 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26871352 0.         0.3428287  0.38845778]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.41281796 0.58718204]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40889418 0.         0.         0.59110582]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33082201 0.66917799 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22638535 0.         0.77361465]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52390709 0.33652098 0.13957193 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16749527 0.3109081  0.24484482 0.27675181]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24306667 0.         0.35531519 0.40161814]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40620661 0.         0.59379339 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60889121 0.39110879 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14516938 0.13838615 0.11911629 0.11572954 0.48159864]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10105545 0.54231965 0.24837706 0.10824784]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19658973 0.35276895 0.45064133]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33245768 0.12433285 0.47044264 0.07276683]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16479971 0.15709923 0.         0.13137891 0.54672215]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11748249 0.07119351 0.14400835 0.66731565]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77009261 0.0949099  0.13499749]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35313499 0.21399718 0.43286783 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.18809767 0.         0.15730228 0.65460005]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25748032 0.5037929  0.23872679]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33082201 0.66917799 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19359503 0.14484297 0.661562  ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42797831 0.2749031  0.11401594 0.18310265]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.57202509 0.42797491 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51889688 0.         0.48110312]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.         0.19374533 0.80625467]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09755797 0.63694431 0.12446591 0.14103181]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22888583 0.58591236 0.18520181]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26871352 0.         0.3428287  0.38845778]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16749527 0.3109081  0.24484482 0.27675181]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55274731 0.         0.44725269]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22079919 0.         0.54268674 0.23651407]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18625463 0.7047383  0.10900707]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69646584 0.30353416]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20904165 0.79095835 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35785314 0.64214686 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24306667 0.         0.35531519 0.40161814]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.41281796 0.58718204]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43940306 0.         0.56059694 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4805816  0.19932101 0.32009739]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.38373883 0.61626117]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37703179 0.         0.         0.62296821]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14516938 0.13838615 0.11911629 0.11572954 0.48159864]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33245768 0.12433285 0.47044264 0.07276683]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19658973 0.35276895 0.45064133]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10105545 0.54231965 0.24837706 0.10824784]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22888583 0.58591236 0.18520181]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13444966 0.72153153 0.         0.14401881]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30373964 0.         0.69626036]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62780296 0.23478637 0.         0.13741067]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28003278 0.26694789 0.22977619 0.22324313 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48281826 0.         0.         0.51718174]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36357326 0.34658483 0.         0.2898419  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09755797 0.63694431 0.12446591 0.14103181]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75982569 0.24017431]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26871352 0.         0.3428287  0.38845778]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16749527 0.3109081  0.24484482 0.27675181]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43940306 0.         0.56059694 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.51196102 0.48803898 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25748032 0.5037929  0.23872679]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11748249 0.07119351 0.14400835 0.66731565]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77009261 0.0949099  0.13499749]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35313499 0.21399718 0.43286783 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51889688 0.         0.48110312]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19359503 0.14484297 0.661562  ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42797831 0.2749031  0.11401594 0.18310265]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.57202509 0.42797491 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62266789 0.37733211 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4805816  0.19932101 0.32009739]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.38373883 0.61626117]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23158754 0.42987747 0.33853499 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.41281796 0.58718204]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35011306 0.64988694 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.63081202 0.         0.36918798]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14516938 0.13838615 0.11911629 0.11572954 0.48159864]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25748032 0.5037929  0.23872679]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16848542 0.         0.13824788 0.13431718 0.55894951]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33245768 0.12433285 0.47044264 0.07276683]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19658973 0.35276895 0.45064133]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10105545 0.54231965 0.24837706 0.10824784]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22888583 0.58591236 0.18520181]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09755797 0.63694431 0.12446591 0.14103181]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55274731 0.         0.44725269]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13444966 0.72153153 0.         0.14401881]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30373964 0.         0.69626036]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62780296 0.23478637 0.         0.13741067]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38200938 0.         0.31345138 0.30453924 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11748249 0.07119351 0.14400835 0.66731565]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.50721058 0.49278942 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48281826 0.         0.         0.51718174]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.63081202 0.         0.36918798]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42797831 0.2749031  0.11401594 0.18310265]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19359503 0.14484297 0.661562  ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4805816  0.19932101 0.32009739]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26871352 0.         0.3428287  0.38845778]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16749527 0.3109081  0.24484482 0.27675181]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77009261 0.0949099  0.13499749]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08067094 0.16317903 0.75615003]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.57202509 0.42797491 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.         0.17749796 0.82250204]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.41281796 0.58718204]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22180245 0.41171419 0.         0.36648336]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.70683888 0.29316112 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.52906128 0.         0.47093872]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43940306 0.         0.56059694 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67849097 0.32150903]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14516938 0.13838615 0.11911629 0.11572954 0.48159864]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09755797 0.63694431 0.12446591 0.14103181]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16749527 0.3109081  0.24484482 0.27675181]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77009261 0.0949099  0.13499749]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11748249 0.07119351 0.14400835 0.66731565]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.41281796 0.58718204]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22180245 0.41171419 0.         0.36648336]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22888583 0.58591236 0.18520181]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11357577 0.74152258 0.14490165 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16416852 0.15649754 0.13470572 0.         0.54462821]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25748032 0.5037929  0.23872679]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19359503 0.14484297 0.661562  ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33822327 0.66177673 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35313499 0.21399718 0.43286783 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22638535 0.         0.77361465]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42797831 0.2749031  0.11401594 0.18310265]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19658973 0.35276895 0.45064133]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10105545 0.54231965 0.24837706 0.10824784]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30373964 0.         0.69626036]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59023603 0.         0.15724235 0.25252163]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37703179 0.         0.         0.62296821]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.83653239 0.16346761 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55274731 0.         0.44725269]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22079919 0.         0.54268674 0.23651407]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.7003627 0.        0.        0.2996373]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33245768 0.12433285 0.47044264 0.07276683]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44927955 0.         0.55072045 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1946272  0.         0.15969808 0.         0.64567472]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37966215 0.         0.53723911 0.08309874]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82042835 0.         0.         0.17957165]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.54928963 0.         0.45071037 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48281826 0.         0.         0.51718174]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 85, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17826844 0.13146263 0.1201223  0.10783764 0.46230899]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10502454 0.61930206 0.13051092 0.14516248]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23185252 0.60644133 0.16170615]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0868087  0.54892714 0.26198056 0.1022836 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.194821   0.37605832 0.42912068]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34087175 0.13871174 0.44525965 0.07515686]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34126476 0.65873524 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19244939 0.         0.58079433 0.22675628]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6144708  0.25004804 0.         0.13548116]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19981614 0.14735281 0.13464174 0.         0.5181893 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64858392 0.         0.35141608]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24888581 0.         0.75111419 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78948554 0.21051446]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27587366 0.         0.34282014 0.3813062 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80811834 0.08376415 0.10811751]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10766349 0.08405289 0.16672417 0.64155946]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.43654068 0.56345932]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16301767 0.33069842 0.23588729 0.27039662]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24356384 0.         0.35243797 0.40399818]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41978411 0.         0.         0.58021589]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40866292 0.         0.59133708 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40814678 0.29096734 0.10557067 0.19531522]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50721324 0.3615917  0.13119506 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17168898 0.15037379 0.67793723]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.7337691 0.2662309 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41471918 0.30583135 0.27944947 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30036637 0.23449603 0.4651376  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52253779 0.47746221 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24788888 0.50202254 0.25008857]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66748454 0.33251546]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33516976 0.66483024 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53309166 0.46690834 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17826844 0.13146263 0.1201223  0.10783764 0.46230899]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10766349 0.08405289 0.16672417 0.64155946]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80811834 0.08376415 0.10811751]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30036637 0.23449603 0.4651376  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15998246 0.14618192 0.1312322  0.56260342]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0868087  0.54892714 0.26198056 0.1022836 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23185252 0.60644133 0.16170615]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10502454 0.61930206 0.13051092 0.14516248]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58911806 0.         0.41088194]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16301767 0.33069842 0.23588729 0.27039662]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11762386 0.74378412 0.         0.13859202]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.194821   0.37605832 0.42912068]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34087175 0.13871174 0.44525965 0.07515686]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.187373   0.         0.15370042 0.65892658]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21044726 0.67552809 0.11402464]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34126476 0.65873524 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40814678 0.29096734 0.10557067 0.19531522]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17168898 0.15037379 0.67793723]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49162077 0.17837306 0.33000617]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24356384 0.         0.35243797 0.40399818]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.59835035 0.         0.40164965]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45908108 0.         0.         0.54091892]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54936265 0.         0.45063735 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24788888 0.50202254 0.25008857]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53309166 0.46690834 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.33516976 0.66483024 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33055755 0.66944245 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27587366 0.         0.34282014 0.3813062 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.43654068 0.56345932]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41978411 0.         0.         0.58021589]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64858392 0.         0.35141608]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46591899 0.53408101]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17826844 0.13146263 0.1201223  0.10783764 0.46230899]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34087175 0.13871174 0.44525965 0.07515686]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33154439 0.24449476 0.22340395 0.2005569  0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0868087  0.54892714 0.26198056 0.1022836 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.194821   0.37605832 0.42912068]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19244939 0.         0.58079433 0.22675628]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23185252 0.60644133 0.16170615]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10502454 0.61930206 0.13051092 0.14516248]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58911806 0.         0.41088194]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16301767 0.33069842 0.23588729 0.27039662]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80811834 0.08376415 0.10811751]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21334243 0.43278749 0.         0.35387008]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45908108 0.         0.         0.54091892]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42692    0.31482875 0.         0.25825125 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10766349 0.08405289 0.16672417 0.64155946]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90608163 0.09391837 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30036637 0.23449603 0.4651376  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24788888 0.50202254 0.25008857]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5615769 0.4384231 0.        0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17168898 0.15037379 0.67793723]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40814678 0.29096734 0.10557067 0.19531522]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53309166 0.46690834 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54936265 0.         0.45063735 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27587366 0.         0.34282014 0.3813062 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41978411 0.         0.         0.58021589]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37612435 0.         0.         0.62387565]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49162077 0.17837306 0.33000617]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31224232 0.         0.68775768]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.21044726 0.67552809 0.11402464]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35086614 0.64913386]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85558324 0.14441676]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.49779137 0.         0.50220863]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17826844 0.13146263 0.1201223  0.10783764 0.46230899]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24788888 0.50202254 0.25008857]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17168898 0.15037379 0.67793723]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40814678 0.29096734 0.10557067 0.19531522]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.194821   0.37605832 0.42912068]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34087175 0.13871174 0.44525965 0.07515686]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57563889 0.         0.14889394 0.27546717]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39576964 0.         0.51696937 0.08726099]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20525131 0.         0.13830412 0.12416005 0.53228452]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85558324 0.14441676]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34126476 0.65873524 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0868087  0.54892714 0.26198056 0.1022836 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79449662 0.         0.20550338 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53309166 0.46690834 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33055755 0.66944245 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10766349 0.08405289 0.16672417 0.64155946]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11754334 0.         0.1820238  0.70043286]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80811834 0.08376415 0.10811751]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39237729 0.         0.60762271 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43883797 0.         0.29570139 0.26546063 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.52694477 0.47305523 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10502454 0.61930206 0.13051092 0.14516248]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19244939 0.         0.58079433 0.22675628]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23185252 0.60644133 0.16170615]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16301767 0.33069842 0.23588729 0.27039662]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.43654068 0.56345932]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.69197658 0.14582625 0.16219717]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27657667 0.72342333 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47342586 0.52657414]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21334243 0.43278749 0.         0.35387008]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.55015995 0.         0.44984005]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45908108 0.         0.         0.54091892]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17826844 0.13146263 0.1201223  0.10783764 0.46230899]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24788888 0.50202254 0.25008857]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10766349 0.08405289 0.16672417 0.64155946]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17168898 0.15037379 0.67793723]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11754334 0.         0.1820238  0.70043286]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80811834 0.08376415 0.10811751]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39237729 0.         0.60762271 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.49779137 0.         0.50220863]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.18154267 0.81845733]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40814678 0.29096734 0.10557067 0.19531522]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20525131 0.         0.13830412 0.12416005 0.53228452]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34087175 0.13871174 0.44525965 0.07515686]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0868087  0.54892714 0.26198056 0.1022836 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.194821   0.37605832 0.42912068]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49162077 0.17837306 0.33000617]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.46704934 0.53295066]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3685725  0.14998407 0.48144343 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43883797 0.         0.29570139 0.26546063 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19244939 0.         0.58079433 0.22675628]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23185252 0.60644133 0.16170615]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10502454 0.61930206 0.13051092 0.14516248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16301767 0.33069842 0.23588729 0.27039662]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.43654068 0.56345932]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21334243 0.43278749 0.         0.35387008]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58911806 0.         0.41088194]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37612435 0.         0.         0.62387565]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12285906 0.72446757 0.15267336 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45908108 0.         0.         0.54091892]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.23753173 0.76246827 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62308511 0.         0.         0.37691489 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44589693 0.         0.55410307 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35086614 0.64913386]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
Iteration 86, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15925394 0.13278422 0.09377332 0.10049822 0.5136903 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09623972 0.5354827  0.26058124 0.10769635]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21119798 0.35465231 0.4341497 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33292209 0.15424975 0.43914991 0.07367826]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37324004 0.62675996 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3881721  0.30565229 0.12479151 0.1813841 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18513483 0.16775833 0.64710684]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23091594 0.51220997 0.25687409]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22245321 0.         0.77754679]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49957233 0.20396506 0.29646262]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59360262 0.27502848 0.         0.13136889]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.175733   0.14652429 0.         0.11089745 0.56684526]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.67674768 0.         0.32325232]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2071822  0.         0.56097208 0.23184571]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23786928 0.59457836 0.16755236]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12589782 0.60642275 0.12091569 0.14676374]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58672073 0.         0.41327927]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16038509 0.34231809 0.23064882 0.266648  ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.31988083 0.         0.30722226 0.37289691]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40570491 0.33827239 0.         0.2560227  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.45171827 0.54828173]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21870137 0.46678552 0.31451311 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.7100864 0.2899136 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47191123 0.         0.         0.52808877]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.59744828 0.40255172 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79045834 0.100556   0.10898566]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10760525 0.07703178 0.16397397 0.651389  ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11658608 0.         0.17765939 0.70575453]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47988549 0.52011451]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.54531893 0.45468107 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31073596 0.68926404 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39622048 0.         0.60377952 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15925394 0.13278422 0.09377332 0.10049822 0.5136903 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33292209 0.15424975 0.43914991 0.07367826]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21119798 0.35465231 0.4341497 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09623972 0.5354827  0.26058124 0.10769635]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32726232 0.         0.67273768]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59360262 0.27502848 0.         0.13136889]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2071822  0.         0.56097208 0.23184571]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23786928 0.59457836 0.16755236]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47191123 0.         0.         0.52808877]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32747431 0.27304456 0.19282634 0.20665478 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.68337712 0.31662288 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40570491 0.33827239 0.         0.2560227  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23091594 0.51220997 0.25687409]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10760525 0.07703178 0.16397397 0.651389  ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79045834 0.100556   0.10898566]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30866853 0.22096774 0.47036373 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.47339209 0.         0.52660791]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18513483 0.16775833 0.64710684]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3881721  0.30565229 0.12479151 0.1813841 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47418099 0.37337692 0.15244208 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52462006 0.47537994 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58279342 0.41720658 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61309956 0.         0.         0.38690044 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12589782 0.60642275 0.12091569 0.14676374]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16038509 0.34231809 0.23064882 0.266648  ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78015273 0.21984727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14755329 0.71073251 0.1417142  0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47988549 0.52011451]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.17191627 0.82808373 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24386422 0.         0.35069965 0.40543613]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37558 0.      0.      0.62442]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.7100864 0.2899136 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15925394 0.13278422 0.09377332 0.10049822 0.5136903 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33292209 0.15424975 0.43914991 0.07367826]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3881721  0.30565229 0.12479151 0.1813841 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39364113 0.         0.51924301 0.08711586]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32747431 0.27304456 0.19282634 0.20665478 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10760525 0.07703178 0.16397397 0.651389  ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79045834 0.100556   0.10898566]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30866853 0.22096774 0.47036373 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40599871 0.28671967 0.30728162 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23091594 0.51220997 0.25687409]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31962633 0.68037367 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.47339209 0.         0.52660791]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18513483 0.16775833 0.64710684]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.        0.2058725 0.7941275]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47418099 0.37337692 0.15244208 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21119798 0.35465231 0.4341497 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09623972 0.5354827  0.26058124 0.10769635]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32726232 0.         0.67273768]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.85632954 0.14367046]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.75672444 0.         0.24327556 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.       0.       0.482692 0.517308 0.      ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2071822  0.         0.56097208 0.23184571]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26971431 0.         0.73028569 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12589782 0.60642275 0.12091569 0.14676374]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23786928 0.59457836 0.16755236]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.31988083 0.         0.30722226 0.37289691]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47988549 0.52011451]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16038509 0.34231809 0.23064882 0.266648  ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58672073 0.         0.41327927]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24386422 0.         0.35069965 0.40543613]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.46380513 0.53619487]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46173659 0.         0.         0.53826341]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15925394 0.13278422 0.09377332 0.10049822 0.5136903 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33292209 0.15424975 0.43914991 0.07367826]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21119798 0.35465231 0.4341497 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09623972 0.5354827  0.26058124 0.10769635]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32726232 0.         0.67273768]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59360262 0.27502848 0.         0.13136889]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2071822  0.         0.56097208 0.23184571]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23786928 0.59457836 0.16755236]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12589782 0.60642275 0.12091569 0.14676374]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58672073 0.         0.41327927]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47191123 0.         0.         0.52808877]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32747431 0.27304456 0.19282634 0.20665478 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10760525 0.07703178 0.16397397 0.651389  ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79045834 0.100556   0.10898566]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30866853 0.22096774 0.47036373 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23091594 0.51220997 0.25687409]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18513483 0.16775833 0.64710684]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3881721  0.30565229 0.12479151 0.1813841 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52462006 0.47537994 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31073596 0.68926404 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58279342 0.41720658 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.40599871 0.28671967 0.30728162 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.68337712 0.31662288 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.56919937 0.         0.43080063 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.31988083 0.         0.30722226 0.37289691]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47988549 0.52011451]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16038509 0.34231809 0.23064882 0.266648  ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46173659 0.         0.         0.53826341]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21870137 0.46678552 0.31451311 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49957233 0.20396506 0.29646262]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.59744828 0.40255172 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.62757588 0.         0.37242412]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15925394 0.13278422 0.09377332 0.10049822 0.5136903 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09623972 0.5354827  0.26058124 0.10769635]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21119798 0.35465231 0.4341497 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2071822  0.         0.56097208 0.23184571]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33292209 0.15424975 0.43914991 0.07367826]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32726232 0.         0.67273768]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59360262 0.27502848 0.         0.13136889]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3881721  0.30565229 0.12479151 0.1813841 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81879441 0.         0.         0.18120559]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.175733   0.14652429 0.         0.11089745 0.56684526]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26971431 0.         0.73028569 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23786928 0.59457836 0.16755236]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12589782 0.60642275 0.12091569 0.14676374]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40570491 0.33827239 0.         0.2560227  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23091594 0.51220997 0.25687409]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10760525 0.07703178 0.16397397 0.651389  ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79045834 0.100556   0.10898566]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30866853 0.22096774 0.47036373 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.47339209 0.         0.52660791]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18513483 0.16775833 0.64710684]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47418099 0.37337692 0.15244208 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52462006 0.47537994 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58279342 0.41720658 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61309956 0.         0.         0.38690044 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.69376643 0.1383313  0.16790227]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58672073 0.         0.41327927]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.45171827 0.54828173]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16038509 0.34231809 0.23064882 0.266648  ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24386422 0.         0.35069965 0.40543613]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47988549 0.52011451]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37558 0.      0.      0.62442]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.        0.7100864 0.2899136 0.       ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
Iteration 87, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15232209 0.12224555 0.10749726 0.11357146 0.50436364]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09094281 0.5584934  0.25165562 0.09890817]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19472103 0.33328828 0.47199069]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2059829  0.         0.56999289 0.22402421]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24268717 0.57458349 0.18272934]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11533183 0.61461147 0.10858726 0.16146944]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285761 0.09326473 0.10387766]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10319189 0.07276996 0.15043059 0.67360755]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47308309 0.52691691]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17892663 0.29767842 0.2610683  0.26232664]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.57046957 0.         0.42953043]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25476454 0.         0.37172189 0.37351357]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12938095 0.68948024 0.         0.18113881]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47902208 0.         0.         0.52097792]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3317892  0.14944799 0.43997747 0.07878534]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2920618 0.        0.7079382]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59245688 0.26686067 0.         0.14068245]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17066848 0.13696939 0.         0.12725055 0.56511158]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31615895 0.22295235 0.4608887  0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19307381 0.1640054  0.64292079]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3848869  0.28931494 0.1360428  0.18975536]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54070302 0.45929698 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2511318  0.51578984 0.23307836]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40687202 0.         0.59312798 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51864216 0.         0.48135784]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.16515638 0.         0.15343749 0.68140613]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.        0.        0.1837919 0.8162081]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41665932 0.         0.         0.58334068]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40665612 0.         0.59334388 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4703443  0.22116714 0.30848857]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.41756774 0.58243226]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65480353 0.         0.34519647]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15232209 0.12224555 0.10749726 0.11357146 0.50436364]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3317892  0.14944799 0.43997747 0.07878534]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19472103 0.33328828 0.47199069]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09094281 0.5584934  0.25165562 0.09890817]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2920618 0.        0.7079382]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3848869  0.28931494 0.1360428  0.18975536]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19307381 0.1640054  0.64292079]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4703443  0.22116714 0.30848857]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17892663 0.29767842 0.2610683  0.26232664]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285761 0.09326473 0.10387766]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10319189 0.07276996 0.15043059 0.67360755]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47308309 0.52691691]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11533183 0.61461147 0.10858726 0.16146944]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24268717 0.57458349 0.18272934]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29926119 0.         0.28176048 0.41897833]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3073263  0.24664364 0.21688735 0.22914272 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31615895 0.22295235 0.4608887  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2511318  0.51578984 0.23307836]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58644467 0.41355533 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54070302 0.45929698 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51864216 0.         0.48135784]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.35607478 0.31311619 0.33080903 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2059829  0.         0.56999289 0.22402421]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.57046957 0.         0.42953043]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47902208 0.         0.         0.52097792]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59245688 0.26686067 0.         0.14068245]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.51839157 0.         0.48160843 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.40209059 0.59790941]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24214232 0.40284971 0.         0.35500797]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.60390915 0.         0.39609085]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65480353 0.         0.34519647]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.        0.5315638 0.        0.4684362]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15232209 0.12224555 0.10749726 0.11357146 0.50436364]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3317892  0.14944799 0.43997747 0.07878534]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3073263  0.24664364 0.21688735 0.22914272 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2511318  0.51578984 0.23307836]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10319189 0.07276996 0.15043059 0.67360755]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285761 0.09326473 0.10387766]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31615895 0.22295235 0.4608887  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40794279 0.         0.28789476 0.30416245 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.32602949 0.67397051 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51864216 0.         0.48135784]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19307381 0.1640054  0.64292079]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3848869  0.28931494 0.1360428  0.18975536]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54070302 0.45929698 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.48626172 0.51373828 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11533183 0.61461147 0.10858726 0.16146944]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09094281 0.5584934  0.25165562 0.09890817]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24268717 0.57458349 0.18272934]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17892663 0.29767842 0.2610683  0.26232664]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47308309 0.52691691]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24214232 0.40284971 0.         0.35500797]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.29694835 0.70305165 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.69473673 0.12274349 0.18251978]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12152535 0.74630534 0.         0.13216932]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19472103 0.33328828 0.47199069]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.22365395 0.65844113 0.11790492]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36878332 0.63121668 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47902208 0.         0.         0.52097792]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65480353 0.         0.34519647]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4703443  0.22116714 0.30848857]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.41756774 0.58243226]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40549644 0.         0.         0.59450356]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.40209059 0.59790941]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15232209 0.12224555 0.10749726 0.11357146 0.50436364]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2511318  0.51578984 0.23307836]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10319189 0.07276996 0.15043059 0.67360755]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19307381 0.1640054  0.64292079]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3848869  0.28931494 0.1360428  0.18975536]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19472103 0.33328828 0.47199069]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3317892  0.14944799 0.43997747 0.07878534]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17353611 0.         0.12246848 0.12938865 0.57460676]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.22365395 0.65844113 0.11790492]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.54157167 0.         0.19142488 0.26700345]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54070302 0.45929698 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1112905  0.         0.16223654 0.72647296]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285761 0.09326473 0.10387766]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40687202 0.         0.59312798 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51864216 0.         0.48135784]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40794279 0.         0.28789476 0.30416245 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09094281 0.5584934  0.25165562 0.09890817]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57286868 0.         0.         0.42713132 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11533183 0.61461147 0.10858726 0.16146944]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24268717 0.57458349 0.18272934]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.61436553 0.27683145 0.10880302]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36878332 0.63121668 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.41756774 0.58243226]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17892663 0.29767842 0.2610683  0.26232664]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.        0.8481284 0.1518716]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.71785972 0.28214028]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.75871353 0.24128647]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.3625479  0.31795977 0.31949233]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47308309 0.52691691]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.        0.5315638 0.        0.4684362]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29926119 0.         0.28176048 0.41897833]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.40209059 0.59790941]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15232209 0.12224555 0.10749726 0.11357146 0.50436364]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09094281 0.5584934  0.25165562 0.09890817]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19472103 0.33328828 0.47199069]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2059829  0.         0.56999289 0.22402421]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24268717 0.57458349 0.18272934]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11533183 0.61461147 0.10858726 0.16146944]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285761 0.09326473 0.10387766]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10319189 0.07276996 0.15043059 0.67360755]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47308309 0.52691691]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12938095 0.68948024 0.         0.18113881]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.57046957 0.         0.42953043]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17892663 0.29767842 0.2610683  0.26232664]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47902208 0.         0.         0.52097792]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3317892  0.14944799 0.43997747 0.07878534]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2920618 0.        0.7079382]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59245688 0.26686067 0.         0.14068245]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17066848 0.13696939 0.         0.12725055 0.56511158]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41665932 0.         0.         0.58334068]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25476454 0.         0.37172189 0.37351357]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40549644 0.         0.         0.59450356]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19555267 0.1569401  0.         0.         0.64750723]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.65480353 0.         0.34519647]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55477072 0.44522928 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2511318  0.51578984 0.23307836]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31615895 0.22295235 0.4608887  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.68875917 0.31124083]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19307381 0.1640054  0.64292079]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3848869  0.28931494 0.1360428  0.18975536]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54070302 0.45929698 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58644467 0.41355533 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.4703443  0.22116714 0.30848857]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.60390915 0.         0.39609085]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
Iteration 88, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14851643 0.11572601 0.08726765 0.09788637 0.55060354]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28717505 0.15991269 0.48177561 0.07113666]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33047975 0.25751428 0.19418856 0.21781741 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09503839 0.07419961 0.16080483 0.66995717]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79652055 0.09565453 0.10782492]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28795775 0.22481814 0.48722411 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.38462508 0.29004135 0.32533357 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08976312 0.55825438 0.24819021 0.1037923 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18581957 0.34036485 0.47381558]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44314843 0.28243003 0.09392473 0.1804968 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41804597 0.58195403]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20320092 0.         0.56183965 0.23495943]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54175702 0.         0.45824298 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11451127 0.60523743 0.11000158 0.17024973]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21978219 0.59339121 0.18682659]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29007631 0.         0.2786525  0.4312712 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29027121 0.47787495 0.23185384]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15450178 0.14439998 0.70109824]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.61756826 0.         0.13089279 0.25153896]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5168982 0.4831018 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31573708 0.68426292 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.37788539 0.62211461 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.22433655 0.67586805 0.09979541]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.69211488 0.         0.30788512]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34226444 0.65773556]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16274597 0.32435194 0.23529411 0.27760798]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47009428 0.52990572]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21282165 0.42415253 0.         0.36302581]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54052495 0.         0.45947505]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.70512086 0.29487914]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36957991 0.         0.         0.63042009]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.39251049 0.60748951]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14851643 0.11572601 0.08726765 0.09788637 0.55060354]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29027121 0.47787495 0.23185384]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15450178 0.14439998 0.70109824]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44314843 0.28243003 0.09392473 0.1804968 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5168982 0.4831018 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.37788539 0.62211461 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09503839 0.07419961 0.16080483 0.66995717]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16795295 0.         0.09868847 0.11069688 0.62266169]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28717505 0.15991269 0.48177561 0.07113666]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18581957 0.34036485 0.47381558]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.55415193 0.30857808 0.         0.13726999]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08976312 0.55825438 0.24819021 0.1037923 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35314534 0.64685466 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20320092 0.         0.56183965 0.23495943]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21978219 0.59339121 0.18682659]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11451127 0.60523743 0.11000158 0.17024973]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79652055 0.09565453 0.10782492]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.081992   0.17769243 0.74031557]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47009428 0.52990572]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16274597 0.32435194 0.23529411 0.27760798]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50719087 0.16867104 0.32413809]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34226444 0.65773556]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.38739968 0.28103073 0.33156959]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12866458 0.68004326 0.         0.19129217]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54052495 0.         0.45947505]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46375927 0.         0.         0.53624073]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44509913 0.         0.26153844 0.29336243 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31573708 0.68426292 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.47132462 0.52867538 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40213116 0.         0.         0.59786884]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.53882648 0.         0.46117352]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6423237 0.3576763 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14851643 0.11572601 0.08726765 0.09788637 0.55060354]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08976312 0.55825438 0.24819021 0.1037923 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18581957 0.34036485 0.47381558]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28717505 0.15991269 0.48177561 0.07113666]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35314534 0.64685466 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20320092 0.         0.56183965 0.23495943]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.55415193 0.30857808 0.         0.13726999]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44314843 0.28243003 0.09392473 0.1804968 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15450178 0.14439998 0.70109824]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50719087 0.16867104 0.32413809]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34226444 0.65773556]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16274597 0.32435194 0.23529411 0.27760798]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21978219 0.59339121 0.18682659]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11451127 0.60523743 0.11000158 0.17024973]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54052495 0.         0.45947505]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24087389 0.         0.34824951 0.4108766 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29007631 0.         0.2786525  0.4312712 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40886831 0.         0.59113169 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79652055 0.09565453 0.10782492]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80146712 0.         0.         0.19853288]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1627163  0.12679074 0.         0.10724543 0.60324753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26560804 0.         0.73439196 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41012045 0.31957139 0.         0.27030817 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29027121 0.47787495 0.23185384]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60273839 0.         0.         0.39726161 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09503839 0.07419961 0.16080483 0.66995717]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89278503 0.10721497 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28795775 0.22481814 0.48722411 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67332052 0.32667948]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56156648 0.43843352 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.51004328 0.         0.48995672 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5168982 0.4831018 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14851643 0.11572601 0.08726765 0.09788637 0.55060354]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29027121 0.47787495 0.23185384]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16795295 0.         0.09868847 0.11069688 0.62266169]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28717505 0.15991269 0.48177561 0.07113666]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18581957 0.34036485 0.47381558]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.55415193 0.30857808 0.         0.13726999]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44314843 0.28243003 0.09392473 0.1804968 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16274597 0.32435194 0.23529411 0.27760798]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11451127 0.60523743 0.11000158 0.17024973]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21978219 0.59339121 0.18682659]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29007631 0.         0.2786525  0.4312712 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22528761 0.44899713 0.32571526 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54052495 0.         0.45947505]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08976312 0.55825438 0.24819021 0.1037923 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35314534 0.64685466 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20320092 0.         0.56183965 0.23495943]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40886831 0.         0.59113169 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.48908568 0.31170703 0.         0.19920729]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80146712 0.         0.         0.19853288]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44509913 0.         0.26153844 0.29336243 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.51004328 0.         0.48995672 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.6298832 0.        0.3701168 0.        0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46375927 0.         0.         0.53624073]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09503839 0.07419961 0.16080483 0.66995717]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79652055 0.09565453 0.10782492]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28795775 0.22481814 0.48722411 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.67332052 0.32667948]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15450178 0.14439998 0.70109824]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.61075191 0.38924809 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5168982 0.4831018 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56156648 0.43843352 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47009428 0.52990572]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14851643 0.11572601 0.08726765 0.09788637 0.55060354]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29027121 0.47787495 0.23185384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09503839 0.07419961 0.16080483 0.66995717]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79652055 0.09565453 0.10782492]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28795775 0.22481814 0.48722411 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55594194 0.         0.44405806]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16795295 0.         0.09868847 0.11069688 0.62266169]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28717505 0.15991269 0.48177561 0.07113666]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44509913 0.         0.26153844 0.29336243 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56156648 0.43843352 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15450178 0.14439998 0.70109824]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44314843 0.28243003 0.09392473 0.1804968 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5168982 0.4831018 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.47132462 0.52867538 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08976312 0.55825438 0.24819021 0.1037923 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18581957 0.34036485 0.47381558]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.22433655 0.67586805 0.09979541]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35314534 0.64685466 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.50719087 0.16867104 0.32413809]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.69211488 0.         0.30788512]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20320092 0.         0.56183965 0.23495943]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.75043565 0.24956435 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26560804 0.         0.73439196 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21978219 0.59339121 0.18682659]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11451127 0.60523743 0.11000158 0.17024973]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54052495 0.         0.45947505]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29007631 0.         0.2786525  0.4312712 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16274597 0.32435194 0.23529411 0.27760798]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.47009428 0.52990572]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.39251049 0.60748951]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21282165 0.42415253 0.         0.36302581]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.53882648 0.         0.46117352]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
Iteration 89, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14460365 0.10474901 0.10786962 0.0956678  0.54710992]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26087923 0.49153653 0.24758424]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12349037 0.08194496 0.16156666 0.63299802]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80511733 0.09120061 0.10368206]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33648419 0.22328206 0.44023375 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17663843 0.15057132 0.67279024]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3892767  0.32702462 0.09527765 0.18842103]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17841757 0.39211767 0.42946477]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11383818 0.55740223 0.20786948 0.12089011]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21116666 0.62501368 0.16381967]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15700237 0.31337866 0.26445289 0.26516608]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0933377  0.62942812 0.12300146 0.15423272]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21365695 0.42646188 0.35988117 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.       0.467977 0.532023]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1103586  0.74420959 0.14543181 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16152303 0.         0.12049092 0.10686143 0.61112462]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3445386  0.15063262 0.42059931 0.08422948]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41535935 0.         0.30984457 0.27479608 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43321285 0.         0.56678715 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.52997439 0.47002561 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.83652761 0.16347239 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25253722 0.74746278 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1437114  0.70367472 0.         0.15261388]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29350675 0.         0.70649325]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.22981157 0.64168433 0.1285041 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57844123 0.         0.14157672 0.27998205]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.333777 0.666223 0.       0.      ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6738415 0.        0.        0.3261585]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53983241 0.46016759 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51307369 0.         0.48692631]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48497852 0.         0.         0.51502148]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64136623 0.         0.35863377]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14460365 0.10474901 0.10786962 0.0956678  0.54710992]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26087923 0.49153653 0.24758424]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12349037 0.08194496 0.16156666 0.63299802]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16152303 0.         0.12049092 0.10686143 0.61112462]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3445386  0.15063262 0.42059931 0.08422948]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17841757 0.39211767 0.42946477]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3892767  0.32702462 0.09527765 0.18842103]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17663843 0.15057132 0.67279024]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53547102 0.15600788 0.3085211 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.47727124 0.52272876]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.5946465  0.25998005 0.         0.14537345]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.       0.       0.335841 0.664159]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15700237 0.31337866 0.26445289 0.26516608]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80511733 0.09120061 0.10368206]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.09349008 0.18432959 0.72218033]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53983241 0.46016759 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.         0.20333985 0.79666015]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51307369 0.         0.48692631]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41535935 0.         0.30984457 0.27479608 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11383818 0.55740223 0.20786948 0.12089011]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2572046  0.         0.46965775 0.27313765]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60183451 0.         0.         0.39816549 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0933377  0.62942812 0.12300146 0.15423272]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21344978 0.42604839 0.         0.36050183]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80355469 0.         0.         0.19644531]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0. 1.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.       0.467977 0.532023]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1103586  0.74420959 0.14543181 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21116666 0.62501368 0.16381967]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43144152 0.         0.56855848 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.63228414 0.36771586]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56313162 0.         0.43686838]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54166712 0.         0.45833288]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14460365 0.10474901 0.10786962 0.0956678  0.54710992]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12349037 0.08194496 0.16156666 0.63299802]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17663843 0.15057132 0.67279024]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3892767  0.32702462 0.09527765 0.18842103]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53983241 0.46016759 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13451303 0.         0.17598799 0.68949898]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80511733 0.09120061 0.10368206]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43321285 0.         0.56678715 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26087923 0.49153653 0.24758424]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.1224567  0.12610484 0.11184032 0.63959815]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11383818 0.55740223 0.20786948 0.12089011]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3445386  0.15063262 0.42059931 0.08422948]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53547102 0.15600788 0.3085211 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17841757 0.39211767 0.42946477]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40564142 0.         0.49519127 0.09916731]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12949255 0.63405296 0.23645449 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21116666 0.62501368 0.16381967]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0933377  0.62942812 0.12300146 0.15423272]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56313162 0.         0.43686838]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15700237 0.31337866 0.26445289 0.26516608]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25187474 0.         0.33192336 0.4162019 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21365695 0.42646188 0.35988117 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.       0.467977 0.532023]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43144152 0.         0.56855848 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.333777 0.666223 0.       0.      ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.       0.       0.335841 0.664159]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.45029607 0.         0.54970393 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31271963 0.68728037 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16959376 0.83040624 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14012745 0.         0.1279791  0.73189345]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52265582 0.         0.47734418 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51307369 0.         0.48692631]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14460365 0.10474901 0.10786962 0.0956678  0.54710992]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12349037 0.08194496 0.16156666 0.63299802]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17663843 0.15057132 0.67279024]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26087923 0.49153653 0.24758424]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13451303 0.         0.17598799 0.68949898]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80511733 0.09120061 0.10368206]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0933377  0.62942812 0.12300146 0.15423272]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88591315 0.         0.11408685]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43321285 0.         0.56678715 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.1224567  0.12610484 0.11184032 0.63959815]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3445386  0.15063262 0.42059931 0.08422948]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.33977821 0.34990064 0.31032115 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11383818 0.55740223 0.20786948 0.12089011]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17841757 0.39211767 0.42946477]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.22981157 0.64168433 0.1285041 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31271963 0.68728037 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2572046  0.         0.46965775 0.27313765]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52265582 0.         0.47734418 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10642857 0.71770715 0.         0.17586428]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21116666 0.62501368 0.16381967]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37701474 0.         0.         0.62298526]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15700237 0.31337866 0.26445289 0.26516608]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21344978 0.42604839 0.         0.36050183]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51307369 0.         0.48692631]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64136623 0.         0.35863377]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3892767  0.32702462 0.09527765 0.18842103]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.333777 0.666223 0.       0.      ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56313162 0.         0.43686838]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.63228414 0.36771586]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43027201 0.36146407 0.         0.20826392]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6738415 0.        0.        0.3261585]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20794969 0.         0.79205031]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14460365 0.10474901 0.10786962 0.0956678  0.54710992]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3445386  0.15063262 0.42059931 0.08422948]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17841757 0.39211767 0.42946477]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11383818 0.55740223 0.20786948 0.12089011]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29350675 0.         0.70649325]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.5946465  0.25998005 0.         0.14537345]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31929083 0.23129015 0.23818057 0.21123845 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0933377  0.62942812 0.12300146 0.15423272]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21116666 0.62501368 0.16381967]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25187474 0.         0.33192336 0.4162019 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15700237 0.31337866 0.26445289 0.26516608]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56313162 0.         0.43686838]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2572046  0.         0.46965775 0.27313765]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.64136623 0.         0.35863377]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.35385599 0.         0.64614401 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40480019 0.29323203 0.30196778 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12349037 0.08194496 0.16156666 0.63299802]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26087923 0.49153653 0.24758424]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17663843 0.15057132 0.67279024]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3892767  0.32702462 0.09527765 0.18842103]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53983241 0.46016759 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.14728704 0.0977358  0.         0.75497715]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80511733 0.09120061 0.10368206]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60111554 0.39888446 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.4926615 0.5073385 0.        0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22865932 0.         0.38515099 0.38618968]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.       0.467977 0.532023]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43144152 0.         0.56855848 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37189509 0.         0.         0.62810491]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34672218 0.65327782 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53547102 0.15600788 0.3085211 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.       0.       0.335841 0.664159]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
Iteration 90, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13495497 0.10019805 0.10508716 0.10719022 0.55256959]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10687254 0.51640938 0.26352565 0.11319244]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1867817  0.37024953 0.44296877]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34133681 0.13738123 0.43482655 0.08645541]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39713711 0.30920286 0.10715887 0.18650116]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17908254 0.15673616 0.6641813 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11022453 0.07609598 0.17947252 0.63420698]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.83414649 0.07750392 0.08834959]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30133031 0.20803015 0.49063954 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15080237 0.11196403 0.         0.11977728 0.61745633]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39569834 0.         0.50407731 0.10022436]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39420954 0.292683   0.         0.31310746 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.29775179 0.70224821 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19092804 0.80907196]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51289086 0.17774998 0.30935916]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.83414847 0.16585153]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33531639 0.66468361 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22099796 0.         0.54493539 0.23406665]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28853419 0.         0.71146581 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19886838 0.61238661 0.18874501]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08845181 0.63689635 0.13161103 0.1430408 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51305859 0.         0.48694141]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48314231 0.         0.51685769 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24359935 0.         0.36246133 0.39393932]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978653 0.30928442 0.26131533 0.25961372]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40193888 0.         0.59806112 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46730348 0.53269652]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28229405 0.48591184 0.23179412]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54911602 0.         0.45088398]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22932155 0.41773387 0.35294458 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39384319 0.         0.60615681 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74263036 0.25736964 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13495497 0.10019805 0.10508716 0.10719022 0.55256959]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34133681 0.13738123 0.43482655 0.08645541]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30162227 0.22394108 0.23486817 0.23956848 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08845181 0.63689635 0.13161103 0.1430408 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.83414649 0.07750392 0.08834959]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10185736 0.7334229  0.         0.16471974]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19886838 0.61238661 0.18874501]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38209345 0.         0.         0.61790655]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39664619 0.29449211 0.3088617  0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10687254 0.51640938 0.26352565 0.11319244]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1867817  0.37024953 0.44296877]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22099796 0.         0.54493539 0.23406665]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51305859 0.         0.48694141]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48564084 0.         0.         0.51435916]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20857584 0.66016525 0.13125891]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29659637 0.         0.70340363]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61375666 0.         0.38624334]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39713711 0.30920286 0.10715887 0.18650116]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17908254 0.15673616 0.6641813 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11022453 0.07609598 0.17947252 0.63420698]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90422768 0.         0.09577232]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30133031 0.20803015 0.49063954 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57390278 0.42609722 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28229405 0.48591184 0.23179412]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.29775179 0.70224821 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54911602 0.         0.45088398]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19092804 0.80907196]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51289086 0.17774998 0.30935916]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978653 0.30928442 0.26131533 0.25961372]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24581251 0.         0.37832552 0.37586197]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39384319 0.         0.60615681 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74263036 0.25736964 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13495497 0.10019805 0.10508716 0.10719022 0.55256959]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34133681 0.13738123 0.43482655 0.08645541]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1867817  0.37024953 0.44296877]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10687254 0.51640938 0.26352565 0.11319244]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60395054 0.243078   0.         0.15297147]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30162227 0.22394108 0.23486817 0.23956848 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12051379 0.58232406 0.29716216 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29659637 0.         0.70340363]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61375666 0.         0.38624334]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39713711 0.30920286 0.10715887 0.18650116]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17908254 0.15673616 0.6641813 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51289086 0.17774998 0.30935916]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36490791 0.63509209]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28853419 0.         0.71146581 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39420954 0.292683   0.         0.31310746 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11022453 0.07609598 0.17947252 0.63420698]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.83414649 0.07750392 0.08834959]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30133031 0.20803015 0.49063954 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48314231 0.         0.51685769 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08845181 0.63689635 0.13161103 0.1430408 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19886838 0.61238661 0.18874501]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.       0.764402 0.235598]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24359935 0.         0.36246133 0.39393932]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46730348 0.53269652]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978653 0.30928442 0.26131533 0.25961372]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.37253602 0.31475679 0.31270718]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38209345 0.         0.         0.61790655]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54203393 0.45796607 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28229405 0.48591184 0.23179412]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.29775179 0.70224821 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54911602 0.         0.45088398]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53327148 0.46672852 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13495497 0.10019805 0.10508716 0.10719022 0.55256959]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34133681 0.13738123 0.43482655 0.08645541]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39713711 0.30920286 0.10715887 0.18650116]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17908254 0.15673616 0.6641813 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51289086 0.17774998 0.30935916]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39569834 0.         0.50407731 0.10022436]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30162227 0.22394108 0.23486817 0.23956848 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08845181 0.63689635 0.13161103 0.1430408 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978653 0.30928442 0.26131533 0.25961372]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.83414649 0.07750392 0.08834959]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11022453 0.07609598 0.17947252 0.63420698]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46730348 0.53269652]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1032159  0.74320499 0.15357911 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19886838 0.61238661 0.18874501]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40193888 0.         0.59806112 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22984981 0.41869615 0.         0.35145404]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51305859 0.         0.48694141]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3954039 0.        0.        0.6045961]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39664619 0.29449211 0.3088617  0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28229405 0.48591184 0.23179412]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56221368 0.         0.43778632 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10687254 0.51640938 0.26352565 0.11319244]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1867817  0.37024953 0.44296877]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.83414847 0.16585153]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33531639 0.66468361 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22099796 0.         0.54493539 0.23406665]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48564084 0.         0.         0.51435916]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30133031 0.20803015 0.49063954 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53327148 0.46672852 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.6770347 0.3229653]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.38048205 0.         0.61951795 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74263036 0.25736964 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13495497 0.10019805 0.10508716 0.10719022 0.55256959]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08845181 0.63689635 0.13161103 0.1430408 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19886838 0.61238661 0.18874501]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24359935 0.         0.36246133 0.39393932]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15115759 0.11222777 0.11770387 0.         0.61891078]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10687254 0.51640938 0.26352565 0.11319244]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1867817  0.37024953 0.44296877]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39713711 0.30920286 0.10715887 0.18650116]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978653 0.30928442 0.26131533 0.25961372]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.47919225 0.52080775]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22932155 0.41773387 0.35294458 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51305859 0.         0.48694141]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22099796 0.         0.54493539 0.23406665]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39384319 0.         0.60615681 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.83414649 0.07750392 0.08834959]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11022453 0.07609598 0.17947252 0.63420698]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46730348 0.53269652]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44480154 0.34631342 0.         0.20888504]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17908254 0.15673616 0.6641813 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.62376509 0.         0.37623491]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.45528923 0.54471077]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34133681 0.13738123 0.43482655 0.08645541]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17132296 0.12719966 0.         0.         0.70147738]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20857584 0.66016525 0.13125891]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48564084 0.         0.         0.51435916]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.24008977 0.75991023 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57390278 0.42609722 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28229405 0.48591184 0.23179412]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30133031 0.20803015 0.49063954 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.29775179 0.70224821 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53327148 0.46672852 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54911602 0.         0.45088398]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
Iteration 91, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15449387 0.12000863 0.08646268 0.11375161 0.52528321]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35369876 0.14630689 0.42207612 0.07791823]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09710015 0.5447154  0.25548612 0.10269833]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19877706 0.37176003 0.42946291]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21327352 0.         0.56115695 0.22556953]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21610397 0.57124766 0.21264837]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48599043 0.         0.         0.51400957]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32544429 0.25280047 0.1821353  0.23961994 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26726904 0.52490117 0.2078298 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19968826 0.1360031  0.66430864]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42829713 0.27133633 0.10263231 0.19773422]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31640308 0.         0.68359692]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38358719 0.15867019 0.45774262 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43555205 0.         0.24375724 0.3206907  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09333038 0.64984977 0.1151855  0.14163435]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14275927 0.3480503  0.22512189 0.28406855]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.72872886 0.27127114]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10873033 0.75707802 0.13419165 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21897282 0.         0.34530561 0.43572157]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82306223 0.07775065 0.09918712]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1085937  0.07270258 0.17187818 0.64682554]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3373884 0.6626116 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13113252 0.08779213 0.         0.78107535]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4394237 0.5605763]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33446571 0.         0.         0.66553429]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44759363 0.         0.55240637 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.64116898 0.         0.35883102 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59898471 0.40101529 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.25740898 0.74259102 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58778439 0.         0.14085005 0.27136556]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.59485672 0.40514328 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34169024 0.65830976]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15449387 0.12000863 0.08646268 0.11375161 0.52528321]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35369876 0.14630689 0.42207612 0.07791823]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32544429 0.25280047 0.1821353  0.23961994 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1085937  0.07270258 0.17187818 0.64682554]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82306223 0.07775065 0.09918712]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30747892 0.20585458 0.4866665  0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19968826 0.1360031  0.66430864]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42829713 0.27133633 0.10263231 0.19773422]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.22637569 0.65306407 0.12056023]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19877706 0.37176003 0.42946291]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09710015 0.5447154  0.25548612 0.10269833]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31640308 0.         0.68359692]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.53385941 0.33821252 0.12792807 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.     0.6525 0.     0.3475]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80669312 0.         0.19330688 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.59485672 0.40514328 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.38718213 0.         0.61281787 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.37476588 0.27000779 0.35522632 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09333038 0.64984977 0.1151855  0.14163435]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21610397 0.57124766 0.21264837]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14275927 0.3480503  0.22512189 0.28406855]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27446946 0.72553054 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21327352 0.         0.56115695 0.22556953]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26654382 0.         0.32896023 0.40449594]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21897282 0.         0.34530561 0.43572157]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.44211728 0.55788272]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44759363 0.         0.55240637 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4394237 0.5605763]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.58123633 0.41876367 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26726904 0.52490117 0.2078298 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48599043 0.         0.         0.51400957]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.71636275 0.28363725]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15449387 0.12000863 0.08646268 0.11375161 0.52528321]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09333038 0.64984977 0.1151855  0.14163435]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21610397 0.57124766 0.21264837]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26654382 0.         0.32896023 0.40449594]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14275927 0.3480503  0.22512189 0.28406855]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44759363 0.         0.55240637 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17432344 0.13541195 0.09756033 0.         0.59270428]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09710015 0.5447154  0.25548612 0.10269833]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50402984 0.         0.49597016]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19940354 0.48615031 0.31444615 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42829713 0.27133633 0.10263231 0.19773422]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19968826 0.1360031  0.66430864]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.47461075 0.17952038 0.34586887]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19877706 0.37176003 0.42946291]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35369876 0.14630689 0.42207612 0.07791823]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34169024 0.65830976]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41431605 0.         0.49441201 0.09127194]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3484034 0.6515966 0.       ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13042087 0.731639   0.         0.13794012]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.60723515 0.39276485 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48599043 0.         0.         0.51400957]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19316908 0.15005098 0.         0.         0.65677995]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81947367 0.         0.         0.18052633]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56281408 0.43718592 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1085937  0.07270258 0.17187818 0.64682554]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26726904 0.52490117 0.2078298 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.71636275 0.28363725]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.59485672 0.40514328 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13113252 0.08779213 0.         0.78107535]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.14375289 0.         0.         0.85624711]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82306223 0.07775065 0.09918712]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4394237 0.5605763]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15449387 0.12000863 0.08646268 0.11375161 0.52528321]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1085937  0.07270258 0.17187818 0.64682554]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82306223 0.07775065 0.09918712]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14275927 0.3480503  0.22512189 0.28406855]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.91368835 0.08631165 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30747892 0.20585458 0.4866665  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14193703 0.10226145 0.13453671 0.62126482]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09333038 0.64984977 0.1151855  0.14163435]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10548017 0.73444747 0.         0.16007236]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21610397 0.57124766 0.21264837]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18423448 0.4491678  0.         0.36659772]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39721017 0.         0.         0.60278983]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.29086488 0.70913512 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42829713 0.27133633 0.10263231 0.19773422]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19968826 0.1360031  0.66430864]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.47461075 0.17952038 0.34586887]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19877706 0.37176003 0.42946291]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09710015 0.5447154  0.25548612 0.10269833]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27446946 0.72553054 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.16400121 0.11815804 0.         0.71784075]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35369876 0.14630689 0.42207612 0.07791823]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31640308 0.         0.68359692]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61201617 0.25315945 0.         0.13482438]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.58123633 0.41876367 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13042087 0.731639   0.         0.13794012]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34169024 0.65830976]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48599043 0.         0.         0.51400957]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.     0.6525 0.     0.3475]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26726904 0.52490117 0.2078298 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.59485672 0.40514328 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.29725388 0.70274612 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3373884 0.6626116 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15449387 0.12000863 0.08646268 0.11375161 0.52528321]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35369876 0.14630689 0.42207612 0.07791823]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32544429 0.25280047 0.1821353  0.23961994 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09710015 0.5447154  0.25548612 0.10269833]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19877706 0.37176003 0.42946291]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21327352 0.         0.56115695 0.22556953]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21610397 0.57124766 0.21264837]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14275927 0.3480503  0.22512189 0.28406855]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82306223 0.07775065 0.09918712]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1085937  0.07270258 0.17187818 0.64682554]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4394237 0.5605763]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18423448 0.4491678  0.         0.36659772]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09333038 0.64984977 0.1151855  0.14163435]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27446946 0.72553054 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26654382 0.         0.32896023 0.40449594]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39721017 0.         0.         0.60278983]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.29086488 0.70913512 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48599043 0.         0.         0.51400957]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39791947 0.30909815 0.         0.29298238 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26726904 0.52490117 0.2078298 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57594211 0.         0.         0.42405789 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30747892 0.20585458 0.4866665  0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.71636275 0.28363725]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.29725388 0.70274612 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19968826 0.1360031  0.66430864]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.2311215 0.        0.7688785]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42829713 0.27133633 0.10263231 0.19773422]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31640308 0.         0.68359692]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.22637569 0.65306407 0.12056023]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58778439 0.         0.14085005 0.27136556]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.     0.6525 0.     0.3475]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80669312 0.         0.19330688 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
Iteration 92, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15351862 0.13754229 0.09589921 0.10799311 0.50504677]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39287017 0.13275264 0.39274621 0.08163099]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31016794 0.27788947 0.19375409 0.21818851 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09298544 0.52604895 0.25414141 0.1268242 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19129652 0.34543354 0.46326994]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.2186561  0.64688998 0.13445392]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35641104 0.64358896 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19619207 0.         0.53621869 0.26758924]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23086599 0.56334984 0.20578417]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18837627 0.3111316  0.24434588 0.25614625]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2906842 0.7093158 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09557227 0.64059424 0.11588924 0.14794425]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77328393 0.10237596 0.1243401 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09395691 0.06503304 0.17402094 0.6669891 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45156025 0.54843975]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.27345756 0.         0.35470617 0.37183626]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41659369 0.30291155 0.10200428 0.17849048]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61922938 0.         0.38077062]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.42302712 0.         0.         0.57697288]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50710756 0.36872555 0.12416689 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.8033076 0.        0.1966924 0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19087875 0.14921565 0.6599056 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.48821123 0.51178877]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10809988 0.72456334 0.         0.16733678]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38470637 0.34467085 0.         0.27062277 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25434938 0.53920252 0.2064481 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28214365 0.19528803 0.52256832 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5519765 0.        0.4480235]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56125227 0.43874773 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5909613 0.4090387 0.        0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58704298 0.         0.         0.41295702 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39246729 0.         0.         0.60753271]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15351862 0.13754229 0.09589921 0.10799311 0.50504677]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39287017 0.13275264 0.39274621 0.08163099]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41659369 0.30291155 0.10200428 0.17849048]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19129652 0.34543354 0.46326994]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09298544 0.52604895 0.25414141 0.1268242 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2922492 0.        0.7077508]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59761955 0.         0.14632904 0.25605141]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19087875 0.14921565 0.6599056 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25434938 0.53920252 0.2064481 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22435621 0.         0.77564379]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36365841 0.63634159]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.4530082  0.         0.45286527 0.09412653]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82796462 0.         0.         0.17203538]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31016794 0.27788947 0.19375409 0.21818851 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32052015 0.67947985 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09395691 0.06503304 0.17402094 0.6669891 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42952973 0.         0.26831638 0.30215389 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09557227 0.64059424 0.11588924 0.14794425]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23086599 0.56334984 0.20578417]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18837627 0.3111316  0.24434588 0.25614625]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26591746 0.         0.32244681 0.41163573]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2532437  0.41826985 0.32848645 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2906842 0.7093158 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45196058 0.         0.54803942 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77328393 0.10237596 0.1243401 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.07177699 0.19206696 0.73615605]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61550781 0.         0.38449219 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08884027 0.         0.91115973]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45156025 0.54843975]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43532847 0.         0.56467153 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19619207 0.         0.53621869 0.26758924]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26787164 0.         0.73212836 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15351862 0.13754229 0.09589921 0.10799311 0.50504677]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09298544 0.52604895 0.25414141 0.1268242 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19129652 0.34543354 0.46326994]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41659369 0.30291155 0.10200428 0.17849048]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.42714487 0.57285513]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39287017 0.13275264 0.39274621 0.08163099]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16980255 0.15213159 0.         0.11944808 0.55861778]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.2186561  0.64688998 0.13445392]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19619207 0.         0.53621869 0.26758924]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23086599 0.56334984 0.20578417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09557227 0.64059424 0.11588924 0.14794425]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52872073 0.         0.47127927]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18837627 0.3111316  0.24434588 0.25614625]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77328393 0.10237596 0.1243401 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09395691 0.06503304 0.17402094 0.6669891 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25434938 0.53920252 0.2064481 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19087875 0.14921565 0.6599056 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32052015 0.67947985 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38470637 0.34467085 0.         0.27062277 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11375217 0.07873449 0.         0.80751334]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45156025 0.54843975]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26591746 0.         0.32244681 0.41163573]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24928902 0.4117381  0.         0.33897288]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59761955 0.         0.14632904 0.25605141]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22435621 0.         0.77564379]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5909613 0.4090387 0.        0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36365841 0.63634159]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61922938 0.         0.38077062]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.42302712 0.         0.         0.57697288]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54846421 0.         0.45153579]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.56017296 0.         0.43982704 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39246729 0.         0.         0.60753271]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15351862 0.13754229 0.09589921 0.10799311 0.50504677]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25434938 0.53920252 0.2064481 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19087875 0.14921565 0.6599056 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41659369 0.30291155 0.10200428 0.17849048]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19129652 0.34543354 0.46326994]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39287017 0.13275264 0.39274621 0.08163099]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35641104 0.64358896 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09298544 0.52604895 0.25414141 0.1268242 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59761955 0.         0.14632904 0.25605141]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64696206 0.21861146 0.         0.13442648]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17800133 0.         0.11119294 0.12521554 0.58559019]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09395691 0.06503304 0.17402094 0.6669891 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32052015 0.67947985 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11375217 0.07873449 0.         0.80751334]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77328393 0.10237596 0.1243401 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5909613 0.4090387 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.13527144 0.15233058 0.71239798]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61922938 0.         0.38077062]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.8033076 0.        0.1966924 0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56125227 0.43874773 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.47034244 0.52965756 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19619207 0.         0.53621869 0.26758924]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23086599 0.56334984 0.20578417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09557227 0.64059424 0.11588924 0.14794425]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18837627 0.3111316  0.24434588 0.25614625]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45156025 0.54843975]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11216668 0.75182198 0.13601134 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52872073 0.         0.47127927]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24928902 0.4117381  0.         0.33897288]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.54846421 0.         0.45153579]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.42302712 0.         0.         0.57697288]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45196058 0.         0.54803942 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15351862 0.13754229 0.09589921 0.10799311 0.50504677]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39287017 0.13275264 0.39274621 0.08163099]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31016794 0.27788947 0.19375409 0.21818851 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25434938 0.53920252 0.2064481 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42952973 0.         0.26831638 0.30215389 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09395691 0.06503304 0.17402094 0.6669891 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77328393 0.10237596 0.1243401 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18837627 0.3111316  0.24434588 0.25614625]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23086599 0.56334984 0.20578417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09557227 0.64059424 0.11588924 0.14794425]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52872073 0.         0.47127927]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.27345756 0.         0.35470617 0.37183626]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41659369 0.30291155 0.10200428 0.17849048]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19129652 0.34543354 0.46326994]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09298544 0.52604895 0.25414141 0.1268242 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12466899 0.70529314 0.         0.17003786]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.47034244 0.52965756 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.        0.8057445 0.        0.1942555]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2922492 0.        0.7077508]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59761955 0.         0.14632904 0.25605141]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19087875 0.14921565 0.6599056 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28214365 0.19528803 0.52256832 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.72313025 0.27686975]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.18441692 0.81558308]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.36365841 0.63634159]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.48821123 0.51178877]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26591746 0.         0.32244681 0.41163573]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88308707 0.11691293 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5909613 0.4090387 0.        0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45196058 0.         0.54803942 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.2186561  0.64688998 0.13445392]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61922938 0.         0.38077062]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
Iteration 93, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17638557 0.12471547 0.09745381 0.11277178 0.48867336]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36708761 0.12855792 0.4255454  0.07880907]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34495675 0.24390568 0.19059013 0.22054744 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09775281 0.07541963 0.16154542 0.66528214]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.3723505  0.29095809 0.33669141 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09864085 0.50961014 0.27367161 0.1180774 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22347632 0.57107456 0.20544912]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09584499 0.62444494 0.11499924 0.16471083]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52101437 0.         0.47898563]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18425481 0.30711206 0.2298371  0.27879603]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78100106 0.1004855  0.11851344]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23924135 0.39876247 0.         0.36199618]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25520889 0.         0.3062114  0.43857971]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88600451 0.11399549 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08359087 0.17904785 0.73736128]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36784821 0.         0.         0.63215179]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3749842 0.6250158 0.        0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13580751 0.70162497 0.         0.16256752]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.52514597 0.         0.47485403 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26022149 0.52397242 0.2158061 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17618695 0.1476298  0.67618325]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42584864 0.30580258 0.09640442 0.17194437]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18803706 0.36514708 0.44681585]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.81188506 0.         0.18811494]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29618997 0.         0.70381003]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.2031212  0.67236067 0.12451813]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.61344025 0.         0.13887176 0.24768799]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61995365 0.         0.38004635]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.8154067 0.        0.1845933 0.       ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54409461 0.45590539 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31827321 0.68172679 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33183309 0.66816691 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17638557 0.12471547 0.09745381 0.11277178 0.48867336]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26022149 0.52397242 0.2158061 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09775281 0.07541963 0.16154542 0.66528214]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78100106 0.1004855  0.11851344]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2920454  0.22532298 0.48263161 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17618695 0.1476298  0.67618325]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42584864 0.30580258 0.09640442 0.17194437]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54409461 0.45590539 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.37698989 0.         0.62301011 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54665212 0.         0.45334788]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20151798 0.         0.11133958 0.12884014 0.5583023 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36708761 0.12855792 0.4255454  0.07880907]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18803706 0.36514708 0.44681585]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63901935 0.22379127 0.         0.13718938]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45623508 0.         0.2520719  0.29169302 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.46356778 0.53643222 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09584499 0.62444494 0.11499924 0.16471083]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18425481 0.30711206 0.2298371  0.27879603]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45884011 0.54115989]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11474468 0.74757935 0.13767596 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22347632 0.57107456 0.20544912]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09864085 0.50961014 0.27367161 0.1180774 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61995365 0.         0.38004635]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53261666 0.16790767 0.29947567]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23924135 0.39876247 0.         0.36199618]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.73542452 0.26457548]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39791487 0.         0.         0.60208513]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.64009322 0.         0.35990678]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33991767 0.66008233 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11184751 0.57783998 0.3103125  0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26494104 0.         0.73505896 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45457725 0.         0.54542275 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17638557 0.12471547 0.09745381 0.11277178 0.48867336]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09775281 0.07541963 0.16154542 0.66528214]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78100106 0.1004855  0.11851344]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2920454  0.22532298 0.48263161 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17618695 0.1476298  0.67618325]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.37698989 0.         0.62301011 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26022149 0.52397242 0.2158061 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.15142459 0.11832456 0.13692303 0.59332783]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09584499 0.62444494 0.11499924 0.16471083]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22347632 0.57107456 0.20544912]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09864085 0.50961014 0.27367161 0.1180774 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18803706 0.36514708 0.44681585]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42584864 0.30580258 0.09640442 0.17194437]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.17920304 0.82079696]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54665212 0.         0.45334788]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.17544737 0.13709618 0.         0.68745645]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36708761 0.12855792 0.4255454  0.07880907]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.44970905 0.55029095]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20114782 0.         0.55806946 0.24078272]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.73542452 0.26457548]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25520889 0.         0.3062114  0.43857971]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18425481 0.30711206 0.2298371  0.27879603]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45884011 0.54115989]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23924135 0.39876247 0.         0.36199618]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53261666 0.16790767 0.29947567]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63901935 0.22379127 0.         0.13718938]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.56135336 0.43864664 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35925043 0.64074957]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.52416423 0.         0.47583577]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45457725 0.         0.54542275 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45515709 0.         0.         0.54484291]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61995365 0.         0.38004635]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17638557 0.12471547 0.09745381 0.11277178 0.48867336]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09584499 0.62444494 0.11499924 0.16471083]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22347632 0.57107456 0.20544912]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25520889 0.         0.3062114  0.43857971]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19880519 0.14056752 0.10984075 0.         0.55078654]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36708761 0.12855792 0.4255454  0.07880907]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18803706 0.36514708 0.44681585]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09864085 0.50961014 0.27367161 0.1180774 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63901935 0.22379127 0.         0.13718938]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44256285 0.31291921 0.24451793 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26022149 0.52397242 0.2158061 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.64412055 0.         0.35587945 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11184751 0.57783998 0.3103125  0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29618997 0.         0.70381003]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.61995365 0.         0.38004635]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26494104 0.         0.73505896 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52101437 0.         0.47898563]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18425481 0.30711206 0.2298371  0.27879603]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.41113729 0.58886271]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78100106 0.1004855  0.11851344]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09775281 0.07541963 0.16154542 0.66528214]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.70828283 0.29171717]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11658689 0.08995076 0.         0.79346235]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.10182185 0.         0.89817815]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45884011 0.54115989]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25548225 0.42583246 0.31868529 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3749842 0.6250158 0.        0.       ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17618695 0.1476298  0.67618325]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42584864 0.30580258 0.09640442 0.17194437]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.61344025 0.         0.13887176 0.24768799]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.71236805 0.         0.         0.28763195]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54409461 0.45590539 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17638557 0.12471547 0.09745381 0.11277178 0.48867336]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36708761 0.12855792 0.4255454  0.07880907]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18803706 0.36514708 0.44681585]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63901935 0.22379127 0.         0.13718938]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09864085 0.50961014 0.27367161 0.1180774 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33991767 0.66008233 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42584864 0.30580258 0.09640442 0.17194437]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.74062527 0.25937473 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51427539 0.36930198 0.11642263 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17618695 0.1476298  0.67618325]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.76031144 0.23968856 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18425481 0.30711206 0.2298371  0.27879603]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20114782 0.         0.55806946 0.24078272]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34495675 0.24390568 0.19059013 0.22054744 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26022149 0.52397242 0.2158061 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09775281 0.07541963 0.16154542 0.66528214]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78100106 0.1004855  0.11851344]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2920454  0.22532298 0.48263161 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54665212 0.         0.45334788]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54409461 0.45590539 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56448251 0.43551749 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45623508 0.         0.2520719  0.29169302 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.69858915 0.30141085]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22347632 0.57107456 0.20544912]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09584499 0.62444494 0.11499924 0.16471083]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52101437 0.         0.47898563]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.37648038 0.28175109 0.34176852]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60999858 0.         0.         0.39000142 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25520889 0.         0.3062114  0.43857971]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.45884011 0.54115989]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36784821 0.         0.         0.63215179]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.45187206 0.54812794]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 94, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15274129 0.13119583 0.11055606 0.10983857 0.49566826]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34980821 0.12476128 0.43475077 0.09067974]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20700155 0.34849531 0.44450314]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61885659 0.22071906 0.         0.16042435]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42000046 0.30086052 0.09967602 0.179463  ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17447032 0.3172942  0.23203601 0.27619947]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09624151 0.61836513 0.12644195 0.15895141]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20826942 0.59685299 0.19487759]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24104752 0.43837243 0.32058005 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46649925 0.33416917 0.         0.19933158]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17883697 0.15516238 0.66600065]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.62637057 0.         0.37362943]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37264216 0.62735784 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09355674 0.50744932 0.28402122 0.11497272]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.79413798 0.         0.         0.20586202]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30285877 0.26013795 0.21921296 0.21779032 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18994338 0.         0.5766335  0.23342312]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25868044 0.74131956 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44865 0.      0.      0.55135]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38788908 0.33317402 0.         0.2789369  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10043968 0.0750861  0.15582767 0.66864654]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29708112 0.49182477 0.21109411]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54430334 0.         0.45569666 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69968923 0.30031077]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53544107 0.46455893 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11898007 0.08894642 0.         0.79207351]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25218217 0.         0.33131655 0.41650128]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78479704 0.09955559 0.11564737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.10095846 0.         0.89904154]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0. 1.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46261257 0.53738743]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37713236 0.         0.         0.62286764]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.57760195 0.42239805 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15274129 0.13119583 0.11055606 0.10983857 0.49566826]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09624151 0.61836513 0.12644195 0.15895141]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20826942 0.59685299 0.19487759]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17447032 0.3172942  0.23203601 0.27619947]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25218217 0.         0.33131655 0.41650128]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24104752 0.43837243 0.32058005 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42000046 0.30086052 0.09967602 0.179463  ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20700155 0.34849531 0.44450314]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60073915 0.         0.14256958 0.25669127]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17883697 0.15516238 0.66600065]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35708379 0.64291621]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34980821 0.12476128 0.43475077 0.09067974]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17158831 0.14738431 0.12419776 0.         0.55682963]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19188382 0.66865004 0.13946614]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09355674 0.50744932 0.28402122 0.11497272]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38718361 0.33256805 0.28024834 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29708112 0.49182477 0.21109411]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10043968 0.0750861  0.15582767 0.66864654]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5846037 0.        0.4153963]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53544107 0.46455893 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11898007 0.08894642 0.         0.79207351]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5801095 0.        0.4198905 0.        0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.10095846 0.         0.89904154]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78479704 0.09955559 0.11564737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.55982469 0.31333591 0.1268394 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43946531 0.56053469]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.        0.2229823 0.7770177 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.71184345 0.28815655]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25868044 0.74131956 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43218976 0.         0.56781024 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46261257 0.53738743]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.57760195 0.42239805 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15274129 0.13119583 0.11055606 0.10983857 0.49566826]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34980821 0.12476128 0.43475077 0.09067974]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42000046 0.30086052 0.09967602 0.179463  ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20700155 0.34849531 0.44450314]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09355674 0.50744932 0.28402122 0.11497272]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31772841 0.         0.68227159]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39967178 0.         0.4967225  0.10360572]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60073915 0.         0.14256958 0.25669127]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17883697 0.15516238 0.66600065]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35708379 0.64291621]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.79413798 0.         0.         0.20586202]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30285877 0.26013795 0.21921296 0.21779032 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10043968 0.0750861  0.15582767 0.66864654]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78479704 0.09955559 0.11564737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30311947 0.22660425 0.47027628 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29708112 0.49182477 0.21109411]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.37314957 0.31444556 0.31240487 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18994338 0.         0.5766335  0.23342312]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20826942 0.59685299 0.19487759]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09624151 0.61836513 0.12644195 0.15895141]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51660912 0.         0.48339088]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44865 0.      0.      0.55135]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54430334 0.         0.45569666 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.69968923 0.30031077]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57222181 0.42777819 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25218217 0.         0.33131655 0.41650128]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46261257 0.53738743]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17447032 0.3172942  0.23203601 0.27619947]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37713236 0.         0.         0.62286764]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24104752 0.43837243 0.32058005 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.57760195 0.42239805 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53544107 0.46455893 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15274129 0.13119583 0.11055606 0.10983857 0.49566826]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34980821 0.12476128 0.43475077 0.09067974]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30285877 0.26013795 0.21921296 0.21779032 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09355674 0.50744932 0.28402122 0.11497272]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20826942 0.59685299 0.19487759]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09624151 0.61836513 0.12644195 0.15895141]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51660912 0.         0.48339088]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17447032 0.3172942  0.23203601 0.27619947]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13066971 0.70874911 0.         0.16058118]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20700155 0.34849531 0.44450314]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42000046 0.30086052 0.09967602 0.179463  ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17883697 0.15516238 0.66600065]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51872544 0.17185535 0.30941922]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25555711 0.         0.33987701 0.40456588]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25218217 0.         0.33131655 0.41650128]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4291946 0.        0.5708054 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78479704 0.09955559 0.11564737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10043968 0.0750861  0.15582767 0.66864654]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46261257 0.53738743]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43218976 0.         0.56781024 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38788908 0.33317402 0.         0.2789369  0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30311947 0.22660425 0.47027628 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53544107 0.46455893 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3919332 0.        0.6080668 0.       ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29708112 0.49182477 0.21109411]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.37657358 0.62342642 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.54430334 0.         0.45569666 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.62637057 0.         0.37362943]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19188382 0.66865004 0.13946614]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43946531 0.56053469]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44865 0.      0.      0.55135]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57909715 0.         0.42090285]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15274129 0.13119583 0.11055606 0.10983857 0.49566826]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34980821 0.12476128 0.43475077 0.09067974]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20700155 0.34849531 0.44450314]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09355674 0.50744932 0.28402122 0.11497272]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31772841 0.         0.68227159]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61885659 0.22071906 0.         0.16042435]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30285877 0.26013795 0.21921296 0.21779032 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18994338 0.         0.5766335  0.23342312]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20826942 0.59685299 0.19487759]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09624151 0.61836513 0.12644195 0.15895141]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78479704 0.09955559 0.11564737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10043968 0.0750861  0.15582767 0.66864654]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.46261257 0.53738743]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11017185 0.70786954 0.         0.18195861]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51660912 0.         0.48339088]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17447032 0.3172942  0.23203601 0.27619947]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37713236 0.         0.         0.62286764]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38788908 0.33317402 0.         0.2789369  0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24104752 0.43837243 0.32058005 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35478428 0.64521572 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44865 0.      0.      0.55135]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.57909715 0.         0.42090285]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42000046 0.30086052 0.09967602 0.179463  ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46649925 0.33416917 0.         0.19933158]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.53794056 0.46205944 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30311947 0.22660425 0.47027628 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29708112 0.49182477 0.21109411]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57222181 0.42777819 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17883697 0.15516238 0.66600065]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58263725 0.41736275 0.         0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53544107 0.46455893 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5846037 0.        0.4153963]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
Iteration 95, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15870815 0.11701271 0.10889647 0.109469   0.50591367]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33828157 0.13226865 0.43477996 0.09466982]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20219062 0.34651435 0.45129503]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59849536 0.23401267 0.         0.16749197]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32121542 0.23682645 0.22039968 0.22155845 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27990006 0.48968617 0.23041376]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42089433 0.         0.28879366 0.29031202 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11242879 0.62876983 0.11279797 0.1460034 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19311516 0.61643937 0.19044547]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30285468 0.         0.30384915 0.39329617]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59306954 0.         0.40693046 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0909746  0.4637428  0.34112254 0.10416007]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36848695 0.63151305 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41042809 0.29361685 0.09979743 0.19615763]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18242963 0.14963555 0.66793483]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.49801703 0.16927101 0.33271196]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16273548 0.3094092  0.2237459  0.30410942]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.43584766 0.56415234]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23385211 0.44462335 0.32152454 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.59949398 0.         0.40050602]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16964732 0.         0.63611741 0.19423528]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58283927 0.         0.41716073]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.210542 0.       0.789458 0.      ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50348014 0.         0.49651986]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09836829 0.07236091 0.18170996 0.64756085]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7807148  0.10591149 0.11337371]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.27910715 0.20531461 0.51557824 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54937898 0.45062102 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35121717 0.         0.64878283 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.6800253 0.3199747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48298511 0.51701489]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.58033619 0.41966381 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15870815 0.11701271 0.10889647 0.109469   0.50591367]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33828157 0.13226865 0.43477996 0.09466982]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20219062 0.34651435 0.45129503]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0909746  0.4637428  0.34112254 0.10416007]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19311516 0.61643937 0.19044547]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11242879 0.62876983 0.11279797 0.1460034 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32121542 0.23682645 0.22039968 0.22155845 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09836829 0.07236091 0.18170996 0.64756085]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7807148  0.10591149 0.11337371]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.27910715 0.20531461 0.51557824 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27990006 0.48968617 0.23041376]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5761656 0.4238344 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.3488978  0.32469754 0.32640466 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13807514 0.7038377  0.         0.15808716]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3094033 0.        0.6905967]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59849536 0.23401267 0.         0.16749197]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.51665412 0.         0.48334588 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54848615 0.         0.45151385]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18242963 0.14963555 0.66793483]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41042809 0.29361685 0.09979743 0.19615763]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16273548 0.3094092  0.2237459  0.30410942]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50348014 0.         0.49651986]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23564675 0.         0.32399201 0.44036124]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45592859 0.32616753 0.         0.21790388]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54937898 0.45062102 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.70841621 0.12708611 0.16449768]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46621443 0.         0.         0.53378557]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58283927 0.         0.41716073]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.59949398 0.         0.40050602]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.43584766 0.56415234]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48298511 0.51701489]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.42387732 0.57612268]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15870815 0.11701271 0.10889647 0.109469   0.50591367]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33828157 0.13226865 0.43477996 0.09466982]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32121542 0.23682645 0.22039968 0.22155845 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09836829 0.07236091 0.18170996 0.64756085]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18242963 0.14963555 0.66793483]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27990006 0.48968617 0.23041376]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10604155 0.         0.19588432 0.69807413]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7807148  0.10591149 0.11337371]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35121717 0.         0.64878283 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.3488978  0.32469754 0.32640466 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0909746  0.4637428  0.34112254 0.10416007]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.51665412 0.         0.48334588 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54848615 0.         0.45151385]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11242879 0.62876983 0.11279797 0.1460034 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19311516 0.61643937 0.19044547]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30285468 0.         0.30384915 0.39329617]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.2145311 0.        0.7854689]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41042809 0.29361685 0.09979743 0.19615763]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.19988661 0.65704678 0.14306662]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20219062 0.34651435 0.45129503]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58283927 0.         0.41716073]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5105828 0.3652667 0.1241505 0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.51015383 0.37526184 0.11458433]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36848695 0.63151305 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.76608099 0.23391901]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50348014 0.         0.49651986]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74632992 0.25367008 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16273548 0.3094092  0.2237459  0.30410942]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48298511 0.51701489]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20964202 0.39859268 0.         0.3917653 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34858575 0.         0.         0.65141425]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.43584766 0.56415234]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15870815 0.11701271 0.10889647 0.109469   0.50591367]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33828157 0.13226865 0.43477996 0.09466982]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0909746  0.4637428  0.34112254 0.10416007]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19311516 0.61643937 0.19044547]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11242879 0.62876983 0.11279797 0.1460034 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32121542 0.23682645 0.22039968 0.22155845 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13807514 0.7038377  0.         0.15808716]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37365547 0.1460999  0.48024463 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41042809 0.29361685 0.09979743 0.19615763]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.43758687 0.         0.56241313 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20219062 0.34651435 0.45129503]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41202577 0.30377931 0.         0.28419492 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.70841621 0.12708611 0.16449768]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50348014 0.         0.49651986]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16273548 0.3094092  0.2237459  0.30410942]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5105828 0.3652667 0.1241505 0.       ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36848695 0.63151305 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80440525 0.         0.19559475 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.36954772 0.26723442 0.36321786]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7807148  0.10591149 0.11337371]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09836829 0.07236091 0.18170996 0.64756085]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57561169 0.42438831 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27990006 0.48968617 0.23041376]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.0802555  0.20153457 0.71820993]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48298511 0.51701489]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.43584766 0.56415234]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.50431916 0.         0.49568084]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1640017 0.8359983 0.        0.       ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.       0.284806 0.715194 0.      ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54848615 0.         0.45151385]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18242963 0.14963555 0.66793483]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.2145311 0.        0.7854689]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15870815 0.11701271 0.10889647 0.109469   0.50591367]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09836829 0.07236091 0.18170996 0.64756085]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7807148  0.10591149 0.11337371]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.27910715 0.20531461 0.51557824 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27990006 0.48968617 0.23041376]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.13908694 0.12943959 0.13012013 0.60135335]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.6800253 0.3199747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5761656 0.4238344 0.        0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18242963 0.14963555 0.66793483]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.15035152 0.151142   0.69850648]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33828157 0.13226865 0.43477996 0.09466982]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20219062 0.34651435 0.45129503]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0909746  0.4637428  0.34112254 0.10416007]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19311516 0.61643937 0.19044547]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11242879 0.62876983 0.11279797 0.1460034 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50348014 0.         0.49651986]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13807514 0.7038377  0.         0.15808716]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3094033 0.        0.6905967]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59849536 0.23401267 0.         0.16749197]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.49868905 0.50131095 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46621443 0.         0.         0.53378557]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.58283927 0.         0.41716073]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30285468 0.         0.30384915 0.39329617]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16273548 0.3094092  0.2237459  0.30410942]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49918043 0.         0.50081957 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.18302467 0.81697533]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41042809 0.29361685 0.09979743 0.19615763]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23385211 0.44462335 0.32152454 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45592859 0.32616753 0.         0.21790388]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6766201 0.        0.        0.3233799]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.48298511 0.51701489]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.58033619 0.41966381 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
Iteration 96, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16203765 0.10646322 0.10787196 0.10953848 0.51408868]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11148735 0.07225877 0.18378146 0.63247243]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76183502 0.11852728 0.11963769]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30334419 0.19660774 0.50004808 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31255912 0.47817377 0.20926711]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60674671 0.39325329 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20547497 0.15670707 0.63781796]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42061872 0.29895399 0.10033509 0.18009221]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37490376 0.11744771 0.426501   0.08114753]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.12705012 0.12873128 0.13072005 0.61349855]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.59897165 0.         0.40102835]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56732513 0.43267487 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.14746697 0.1497452  0.70278783]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.1878874  0.68229654 0.12981606]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22434558 0.34236796 0.43328646]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09610139 0.51513461 0.28315735 0.10560666]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.49616735 0.50383265 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12323373 0.58826616 0.11188689 0.17661322]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20255698 0.62126337 0.17617965]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.56990309 0.31326229 0.11683463]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77906929 0.22093071]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29930435 0.         0.27174568 0.42894998]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49766882 0.50233118]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16350578 0.29217184 0.22901146 0.31531093]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41098877 0.         0.         0.58901123]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23880296 0.42672192 0.33447512 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.82987009 0.         0.17012991]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34114149 0.         0.65885851]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59139238 0.         0.40860762]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51300734 0.36461903 0.12237362 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74871567 0.25128433 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35881898 0.64118102 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16203765 0.10646322 0.10787196 0.10953848 0.51408868]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09610139 0.51513461 0.28315735 0.10560666]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37490376 0.11744771 0.426501   0.08114753]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22434558 0.34236796 0.43328646]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65371302 0.20479148 0.         0.1414955 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18163049 0.11933625 0.         0.12278336 0.57624989]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11148735 0.07225877 0.18378146 0.63247243]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76183502 0.11852728 0.11963769]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30334419 0.19660774 0.50004808 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.14582197 0.         0.15003414 0.70414389]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12323373 0.58826616 0.11188689 0.17661322]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.17156215 0.         0.         0.82843785]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59139238 0.         0.40860762]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10744868 0.5759598  0.31659152 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39587121 0.60412879 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25339268 0.         0.74660732 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20255698 0.62126337 0.17617965]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31255912 0.47817377 0.20926711]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20547497 0.15670707 0.63781796]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42061872 0.29895399 0.10033509 0.18009221]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56732513 0.43267487 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.39527775 0.60472225 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51598834 0.17317627 0.31083539]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74871567 0.25128433 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.28221646 0.71778354 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16350578 0.29217184 0.22901146 0.31531093]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.6709498  0.12761313 0.20143706]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77906929 0.22093071]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.        0.3878227 0.6121773]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49766882 0.50233118]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23880296 0.42672192 0.33447512 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35881898 0.64118102 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16203765 0.10646322 0.10787196 0.10953848 0.51408868]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37490376 0.11744771 0.426501   0.08114753]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22434558 0.34236796 0.43328646]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09610139 0.51513461 0.28315735 0.10560666]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33347166 0.2191001  0.22199928 0.22542895 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31255912 0.47817377 0.20926711]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11148735 0.07225877 0.18378146 0.63247243]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76183502 0.11852728 0.11963769]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12323373 0.58826616 0.11188689 0.17661322]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20255698 0.62126337 0.17617965]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29930435 0.         0.27174568 0.42894998]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16350578 0.29217184 0.22901146 0.31531093]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53482278 0.         0.46517722]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.56990309 0.31326229 0.11683463]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23099643 0.         0.32354103 0.44546254]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86427522 0.         0.13572478]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30334419 0.19660774 0.50004808 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20547497 0.15670707 0.63781796]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.37757917 0.         0.62242083 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.59897165 0.         0.40102835]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4270351  0.         0.28428648 0.28867843 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.52412982 0.         0.47587018 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34147885 0.         0.         0.65852115]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42061872 0.29895399 0.10033509 0.18009221]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.19723364 0.80276636]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51598834 0.17317627 0.31083539]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65371302 0.20479148 0.         0.1414955 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60034043 0.         0.39965957 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.82987009 0.         0.17012991]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59139238 0.         0.40860762]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34114149 0.         0.65885851]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.74871567 0.25128433 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16203765 0.10646322 0.10787196 0.10953848 0.51408868]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09610139 0.51513461 0.28315735 0.10560666]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22434558 0.34236796 0.43328646]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1982022  0.         0.58399166 0.21780614]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20255698 0.62126337 0.17617965]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16350578 0.29217184 0.22901146 0.31531093]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24587519 0.75412481 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12323373 0.58826616 0.11188689 0.17661322]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47643805 0.         0.         0.52356195]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37490376 0.11744771 0.426501   0.08114753]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18163049 0.11933625 0.         0.12278336 0.57624989]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.1878874  0.68229654 0.12981606]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42061872 0.29895399 0.10033509 0.18009221]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20547497 0.15670707 0.63781796]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31255912 0.47817377 0.20926711]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11148735 0.07225877 0.18378146 0.63247243]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76183502 0.11852728 0.11963769]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30334419 0.19660774 0.50004808 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.59897165 0.         0.40102835]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42862642 0.28161941 0.         0.28975417 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60674671 0.39325329 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.24365789 0.         0.75634211]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.51598834 0.17317627 0.31083539]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34114149 0.         0.65885851]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.         0.84015018 0.15984982]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35779358 0.64220642]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.        0.4928814 0.        0.5071186 0.       ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29930435 0.         0.27174568 0.42894998]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23099643 0.         0.32354103 0.44546254]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.52412982 0.         0.47587018 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41655694 0.         0.58344306 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49766882 0.50233118]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16203765 0.10646322 0.10787196 0.10953848 0.51408868]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12323373 0.58826616 0.11188689 0.17661322]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20255698 0.62126337 0.17617965]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16350578 0.29217184 0.22901146 0.31531093]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24587519 0.75412481 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29930435 0.         0.27174568 0.42894998]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18197042 0.11955959 0.12114163 0.         0.57732836]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37490376 0.11744771 0.426501   0.08114753]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22434558 0.34236796 0.43328646]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65371302 0.20479148 0.         0.1414955 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43052431 0.28286637 0.28660932 0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11148735 0.07225877 0.18378146 0.63247243]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76183502 0.11852728 0.11963769]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30334419 0.19660774 0.50004808 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31255912 0.47817377 0.20926711]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20547497 0.15670707 0.63781796]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42061872 0.29895399 0.10033509 0.18009221]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39587121 0.60412879 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09610139 0.51513461 0.28315735 0.10560666]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59998732 0.         0.14312197 0.25689071]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56732513 0.43267487 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60674671 0.39325329 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.39527775 0.60472225 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.49671369 0.50328631 0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1982022  0.         0.58399166 0.21780614]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47643805 0.         0.         0.52356195]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.59139238 0.         0.40860762]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.35779358 0.64220642]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.        0.        0.3878227 0.6121773]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23099643 0.         0.32354103 0.44546254]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49766882 0.50233118]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41655694 0.         0.58344306 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
Iteration 97, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14752457 0.0901501  0.11510859 0.09517191 0.55204484]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34391155 0.15593046 0.41563583 0.08452216]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18740454 0.32993053 0.48266493]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58852265 0.26683781 0.         0.14463954]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40069906 0.3379696  0.08342012 0.17791123]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36224982 0.63775018 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10795078 0.43829439 0.32800042 0.12575441]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21959043 0.6270551  0.15335447]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16376615 0.30898675 0.23151993 0.29572717]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.111957   0.61414982 0.10528295 0.16861023]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25936525 0.74063475 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16064114 0.65222421 0.         0.18713465]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60525779 0.         0.12600648 0.26873573]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80271823 0.         0.         0.19728177]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46191006 0.         0.         0.53808994]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32932887 0.20124805 0.25696453 0.21245856 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09860237 0.07930854 0.17545462 0.64663447]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77493055 0.10882117 0.11624828]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23253226 0.43873161 0.32873614 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29015666 0.         0.27285967 0.43698367]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41429779 0.         0.58570221 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.82768681 0.         0.17231319 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20767272 0.14697504 0.64535224]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87686455 0.12313545 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.27903788 0.22443768 0.49652445 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58557461 0.41442539 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35978782 0.         0.64021218 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29440739 0.50073805 0.20485456]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.30006964 0.38314536 0.316785   0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.48645113 0.         0.51354887 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.58968521 0.         0.41031479]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.515361 0.       0.484639 0.      ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14752457 0.0901501  0.11510859 0.09517191 0.55204484]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34391155 0.15593046 0.41563583 0.08452216]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18740454 0.32993053 0.48266493]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10795078 0.43829439 0.32800042 0.12575441]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21959043 0.6270551  0.15335447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.111957   0.61414982 0.10528295 0.16861023]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32932887 0.20124805 0.25696453 0.21245856 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09860237 0.07930854 0.17545462 0.64663447]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.30006964 0.38314536 0.316785   0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29440739 0.50073805 0.20485456]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.54740497 0.45259503 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16064114 0.65222421 0.         0.18713465]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27967927 0.         0.72032073]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58852265 0.26683781 0.         0.14463954]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40069906 0.3379696  0.08342012 0.17791123]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20767272 0.14697504 0.64535224]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.56393971 0.13919571 0.29686458]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16376615 0.30898675 0.23151993 0.29572717]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77493055 0.10882117 0.11624828]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08798396 0.19464731 0.71736873]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4835004 0.5164996]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21310397 0.40207517 0.         0.38482087]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.69157667 0.11855614 0.18986719]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58880127 0.         0.41119873]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46191006 0.         0.         0.53808994]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80271823 0.         0.         0.19728177]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.38439421 0.61560579]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34640962 0.65359038 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.65513115 0.         0.34486885]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31130301 0.68869699 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58557461 0.41442539 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.7096702 0.2903298]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14752457 0.0901501  0.11510859 0.09517191 0.55204484]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09860237 0.07930854 0.17545462 0.64663447]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77493055 0.10882117 0.11624828]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.111957   0.61414982 0.10528295 0.16861023]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86955673 0.         0.13044327]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.27903788 0.22443768 0.49652445 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29440739 0.50073805 0.20485456]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.10575097 0.13502863 0.11164182 0.64757859]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34391155 0.15593046 0.41563583 0.08452216]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18740454 0.32993053 0.48266493]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58852265 0.26683781 0.         0.14463954]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10795078 0.43829439 0.32800042 0.12575441]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.30006964 0.38314536 0.316785   0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.        0.7096702 0.2903298]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55422329 0.44577671 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.54740497 0.45259503 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.49133431 0.36769319 0.1409725 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21959043 0.6270551  0.15335447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12513118 0.68641793 0.         0.18845089]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58880127 0.         0.41119873]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.77705048 0.         0.22294952]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36224982 0.63775018 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.68804051 0.31195949 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39903805 0.         0.         0.60096195]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16376615 0.30898675 0.23151993 0.29572717]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40069906 0.3379696  0.08342012 0.17791123]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60525779 0.         0.12600648 0.26873573]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20767272 0.14697504 0.64535224]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.24345445 0.         0.75654555]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31921207 0.68078793]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23253226 0.43873161 0.32873614 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41429779 0.         0.58570221 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14752457 0.0901501  0.11510859 0.09517191 0.55204484]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34391155 0.15593046 0.41563583 0.08452216]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18740454 0.32993053 0.48266493]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10795078 0.43829439 0.32800042 0.12575441]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27967927 0.         0.72032073]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58852265 0.26683781 0.         0.14463954]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40069906 0.3379696  0.08342012 0.17791123]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20767272 0.14697504 0.64535224]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09860237 0.07930854 0.17545462 0.64663447]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32932887 0.20124805 0.25696453 0.21245856 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29440739 0.50073805 0.20485456]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08798396 0.19464731 0.71736873]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77493055 0.10882117 0.11624828]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.31130301 0.68869699 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.58968521 0.         0.41031479]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4123043  0.         0.32170755 0.26598815 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.18549789 0.81450211]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.56393971 0.13919571 0.29686458]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16376615 0.30898675 0.23151993 0.29572717]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4835004 0.5164996]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21310397 0.40207517 0.         0.38482087]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21959043 0.6270551  0.15335447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.111957   0.61414982 0.10528295 0.16861023]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58880127 0.         0.41119873]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35640595 0.         0.         0.64359405]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29015666 0.         0.27285967 0.43698367]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39903805 0.         0.         0.60096195]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.54740497 0.45259503 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1921839  0.         0.58393653 0.22387956]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46191006 0.         0.         0.53808994]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80271823 0.         0.         0.19728177]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.65513115 0.         0.34486885]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14752457 0.0901501  0.11510859 0.09517191 0.55204484]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10795078 0.43829439 0.32800042 0.12575441]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21959043 0.6270551  0.15335447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.111957   0.61414982 0.10528295 0.16861023]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58880127 0.         0.41119873]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16376615 0.30898675 0.23151993 0.29572717]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29015666 0.         0.27285967 0.43698367]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23253226 0.43873161 0.32873614 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77493055 0.10882117 0.11624828]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09860237 0.07930854 0.17545462 0.64663447]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16671488 0.10187702 0.         0.10755207 0.62385603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34391155 0.15593046 0.41563583 0.08452216]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16064114 0.65222421 0.         0.18713465]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18740454 0.32993053 0.48266493]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46191006 0.         0.         0.53808994]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37566343 0.17032685 0.45400972 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27967927 0.         0.72032073]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40069906 0.3379696  0.08342012 0.17791123]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20767272 0.14697504 0.64535224]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.56393971 0.13919571 0.29686458]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.68804051 0.31195949 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44322093 0.27084581 0.         0.28593326 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29440739 0.50073805 0.20485456]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.08798396 0.19464731 0.71736873]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.58968521 0.         0.41031479]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60785624 0.         0.         0.39214376 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.515361 0.       0.484639 0.      ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.10924899 0.         0.89075101]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4835004 0.5164996]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34640962 0.65359038 0.         0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.31921207 0.68078793]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58557461 0.41442539 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
Iteration 98, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17491374 0.08712599 0.09490487 0.08509508 0.55796033]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26835638 0.52585745 0.20578616]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10070617 0.08195968 0.16147254 0.65586161]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5659825 0.        0.4340175]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19179247 0.168556   0.63965152]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38852402 0.32632776 0.09643405 0.18871417]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19885016 0.34899572 0.45215412]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57672559 0.         0.14314684 0.28012757]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53224166 0.46775834 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12009883 0.09774239 0.         0.78215877]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79667257 0.09655354 0.10677388]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55131361 0.44868639 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19160775 0.         0.10396272 0.09321667 0.61121285]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10462931 0.61432081 0.11979418 0.16125569]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21130489 0.         0.11465001 0.         0.67404509]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34450484 0.14956947 0.43182758 0.07409811]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33818921 0.66181079]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40509463 0.         0.50777525 0.08713012]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43561853 0.56438147]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10624585 0.46523378 0.31012031 0.11840006]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82298712 0.         0.         0.17701288]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.64826419 0.         0.35173581 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19867719 0.         0.57991754 0.22140527]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.72370028 0.27629972]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21846929 0.60419138 0.17733934]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.6861078  0.13379283 0.18009936]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17177678 0.30704137 0.22432773 0.29685412]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4748673 0.5251327]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22145536 0.39583904 0.         0.3827056 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55195686 0.         0.44804314]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36655026 0.         0.         0.63344974]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.83681823 0.16318177 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17491374 0.08712599 0.09490487 0.08509508 0.55796033]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34450484 0.14956947 0.43182758 0.07409811]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19885016 0.34899572 0.45215412]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60633855 0.26324662 0.         0.13041484]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39569693 0.19709994 0.21469762 0.19250552 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10070617 0.08195968 0.16147254 0.65586161]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79667257 0.09655354 0.10677388]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29263276 0.23815908 0.46920816 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26835638 0.52585745 0.20578616]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55131361 0.44868639 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.32616074 0.35528137 0.3185579  0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5659825 0.        0.4340175]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.52724943 0.47275057 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10462931 0.61432081 0.11979418 0.16125569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21846929 0.60419138 0.17733934]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27128587 0.         0.31060578 0.41810836]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17177678 0.30704137 0.22432773 0.29685412]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38852402 0.32632776 0.09643405 0.18871417]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19179247 0.168556   0.63965152]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53367225 0.15770701 0.30862074]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36296734 0.63703266 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10624585 0.46523378 0.31012031 0.11840006]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.52053888 0.34698615 0.13247497]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.66871322 0.         0.33128678]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33818921 0.66181079]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.37072296 0.27085419 0.35842285]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46621372 0.         0.53378628 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4748673 0.5251327]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.57783068 0.42216932 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.60002751 0.39997249 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55195686 0.         0.44804314]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53224166 0.46775834 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17491374 0.08712599 0.09490487 0.08509508 0.55796033]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26835638 0.52585745 0.20578616]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10070617 0.08195968 0.16147254 0.65586161]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79667257 0.09655354 0.10677388]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29263276 0.23815908 0.46920816 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5659825 0.        0.4340175]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19160775 0.         0.10396272 0.09321667 0.61121285]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34450484 0.14956947 0.43182758 0.07409811]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38852402 0.32632776 0.09643405 0.18871417]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19885016 0.34899572 0.45215412]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57672559 0.         0.14314684 0.28012757]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19179247 0.168556   0.63965152]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33818921 0.66181079]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17177678 0.30704137 0.22432773 0.29685412]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40509463 0.         0.50777525 0.08713012]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43561853 0.56438147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82298712 0.         0.         0.17701288]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.49283459 0.         0.26740267 0.23976274 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55131361 0.44868639 0.         0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.         0.52724943 0.47275057 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10624585 0.46523378 0.31012031 0.11840006]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10462931 0.61432081 0.11979418 0.16125569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21846929 0.60419138 0.17733934]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27128587 0.         0.31060578 0.41810836]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.37072296 0.27085419 0.35842285]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55195686 0.         0.44804314]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.         0.         0.43042122 0.56957878]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46621372 0.         0.53378628 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4748673 0.5251327]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.52053888 0.34698615 0.13247497]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.79713298 0.         0.20286702]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53224166 0.46775834 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17491374 0.08712599 0.09490487 0.08509508 0.55796033]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10624585 0.46523378 0.31012031 0.11840006]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19885016 0.34899572 0.45215412]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38852402 0.32632776 0.09643405 0.18871417]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19179247 0.168556   0.63965152]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10070617 0.08195968 0.16147254 0.65586161]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.20855535 0.79144465]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53367225 0.15770701 0.30862074]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34450484 0.14956947 0.43182758 0.07409811]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.43561853 0.56438147]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19867719 0.         0.57991754 0.22140527]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60633855 0.26324662 0.         0.13041484]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19325453 0.09626169 0.         0.09401782 0.61646595]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10462931 0.61432081 0.11979418 0.16125569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21846929 0.60419138 0.17733934]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25517407 0.         0.74482593 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.77308718 0.22691282]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27128587 0.         0.31060578 0.41810836]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17177678 0.30704137 0.22432773 0.29685412]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46621372 0.         0.53378628 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21330942 0.1062512  0.         0.         0.68043938]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.66871322 0.         0.33128678]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.77189508 0.22810492 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.66750847 0.33249153 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26835638 0.52585745 0.20578616]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33788933 0.66211067 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10969689 0.         0.17588829 0.71441482]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13310925 0.         0.         0.86689075]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0. 1.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79667257 0.09655354 0.10677388]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2442975  0.43666809 0.31903441 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4336653 0.        0.5663347 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4748673 0.5251327]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17491374 0.08712599 0.09490487 0.08509508 0.55796033]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34450484 0.14956947 0.43182758 0.07409811]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19885016 0.34899572 0.45215412]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10624585 0.46523378 0.31012031 0.11840006]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30545139 0.         0.69454861]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38852402 0.32632776 0.09643405 0.18871417]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19179247 0.168556   0.63965152]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26835638 0.52585745 0.20578616]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10070617 0.08195968 0.16147254 0.65586161]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79667257 0.09655354 0.10677388]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29263276 0.23815908 0.46920816 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.23067395 0.         0.76932605]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53367225 0.15770701 0.30862074]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60633855 0.26324662 0.         0.13041484]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.33818921 0.66181079]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82298712 0.         0.         0.17701288]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39569693 0.19709994 0.21469762 0.19250552 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10462931 0.61432081 0.11979418 0.16125569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.        0.4748673 0.5251327]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11886914 0.6979286  0.         0.18320226]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21846929 0.60419138 0.17733934]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17177678 0.30704137 0.22432773 0.29685412]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.3935134 0.        0.        0.6064866]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2442975  0.43666809 0.31903441 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26556428 0.73443572 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4900305  0.24408827 0.26588122 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19867719 0.         0.57991754 0.22140527]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47294808 0.         0.         0.52705192]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.66750847 0.33249153 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5659825 0.        0.4340175]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.38411268 0.         0.61588732 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4336653 0.        0.5663347 0.       ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
Iteration 99, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19459344 0.08210585 0.10596219 0.10909083 0.5082477 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34094398 0.11925763 0.46177128 0.07802712]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39571434 0.16696587 0.21547878 0.22184101 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11052023 0.62845204 0.11155077 0.14947696]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2391039  0.59596343 0.16493267]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29745886 0.         0.30023248 0.40230866]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414119 0.30540972 0.22081946 0.29962963]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.59178777 0.         0.40821223]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.123177   0.485705   0.26600138 0.12511662]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18095218 0.70065557 0.11839224]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22296253 0.32391938 0.45311809]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14079248 0.55516542 0.3040421  0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3297869 0.        0.6702131]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60449491 0.         0.39550509]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4108986  0.31516096 0.0947554  0.17918504]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1897735  0.13642107 0.67380544]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27224361 0.48542462 0.24233178]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50852633 0.21456524 0.27690843 0.         0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.31650525 0.         0.68349475 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.70326685 0.29673315 0.         0.         0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66701526 0.33298474]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09802342 0.08625176 0.16541518 0.65030963]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.09562528 0.18339188 0.72098284]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21975235 0.         0.78024765]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53498593 0.16084735 0.30416671]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25071066 0.         0.31791326 0.43137608]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49767972 0.         0.50232028 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81147835 0.09282038 0.09570127]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.11710057 0.         0.88289943]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49235928 0.50764072]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.76884211 0.23115789 0.        ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.44090769 0.         0.55909231 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19459344 0.08210585 0.10596219 0.10909083 0.5082477 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34094398 0.11925763 0.46177128 0.07802712]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4108986  0.31516096 0.0947554  0.17918504]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22296253 0.32391938 0.45311809]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59999295 0.         0.13836157 0.26164548]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1897735  0.13642107 0.67380544]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09802342 0.08625176 0.16541518 0.65030963]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39571434 0.16696587 0.21547878 0.22184101 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27224361 0.48542462 0.24233178]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.09562528 0.18339188 0.72098284]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81147835 0.09282038 0.09570127]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34272186 0.65727814 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52906457 0.         0.47093543]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.47502776 0.         0.25866741 0.26630483 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.123177   0.485705   0.26600138 0.12511662]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2391039  0.59596343 0.16493267]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16781639 0.66172468 0.         0.17045893]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.41686456 0.58313544]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38710977 0.         0.52429778 0.08859245]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4960941 0.        0.        0.5039059]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.6407755 0.        0.        0.3592245 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.16837399 0.83162601]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34589782 0.65410218]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81376491 0.         0.         0.18623509]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11052023 0.62845204 0.11155077 0.14947696]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78323891 0.21676109]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29745886 0.         0.30023248 0.40230866]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414119 0.30540972 0.22081946 0.29962963]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.         0.         0.42735217 0.57264783]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24864157 0.43606888 0.31528955 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49235928 0.50764072]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36313389 0.63686611 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19459344 0.08210585 0.10596219 0.10909083 0.5082477 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34094398 0.11925763 0.46177128 0.07802712]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22296253 0.32391938 0.45311809]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63345556 0.22157425 0.         0.14497019]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39571434 0.16696587 0.21547878 0.22184101 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09802342 0.08625176 0.16541518 0.65030963]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.27630288 0.35658431 0.36711281 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.123177   0.485705   0.26600138 0.12511662]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40769776 0.59230224 0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4108986  0.31516096 0.0947554  0.17918504]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1897735  0.13642107 0.67380544]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.09562528 0.18339188 0.72098284]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81147835 0.09282038 0.09570127]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.         0.34272186 0.65727814 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.         0.16837399 0.83162601]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.53498593 0.16084735 0.30416671]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23950651 0.         0.51721557 0.24327792]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60449491 0.         0.39550509]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.31650525 0.         0.68349475 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.42943136 0.         0.57056864 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27224361 0.48542462 0.24233178]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52906457 0.         0.47093543]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11052023 0.62845204 0.11155077 0.14947696]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414119 0.30540972 0.22081946 0.29962963]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.         0.49235928 0.50764072]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22349273 0.39196272 0.         0.38454455]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2391039  0.59596343 0.16493267]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78323891 0.21676109]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12994384 0.73890067 0.13115549 0.        ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36756419 0.         0.         0.63243581]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49767972 0.         0.50232028 0.        ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34589782 0.65410218]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19459344 0.08210585 0.10596219 0.10909083 0.5082477 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11052023 0.62845204 0.11155077 0.14947696]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2391039  0.59596343 0.16493267]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.123177   0.485705   0.26600138 0.12511662]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.         0.78323891 0.21676109]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29745886 0.         0.30023248 0.40230866]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81147835 0.09282038 0.09570127]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42508241 0.         0.         0.57491759]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414119 0.30540972 0.22081946 0.29962963]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89450682 0.         0.10549318]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09802342 0.08625176 0.16541518 0.65030963]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22349273 0.39196272 0.         0.38454455]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21842118 0.09215962 0.11893714 0.         0.57048206]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16781639 0.66172468 0.         0.17045893]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22296253 0.32391938 0.45311809]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4960941 0.        0.        0.5039059]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34094398 0.11925763 0.46177128 0.07802712]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24790647 0.1046005  0.         0.         0.64749303]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.18095218 0.70065557 0.11839224]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.70326685 0.29673315 0.         0.         0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2803149  0.24665181 0.47303328 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27224361 0.48542462 0.24233178]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.         0.66701526 0.33298474]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.53194043 0.46805957 0.         0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1897735  0.13642107 0.67380544]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4108986  0.31516096 0.0947554  0.17918504]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36313389 0.63686611 0.         0.        ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45390892 0.34815006 0.         0.19794102]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.20525248 0.79474752 0.        ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3297869 0.        0.6702131]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5659296 0.4340704 0.        0.       ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58178007 0.41821993 0.        ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19459344 0.08210585 0.10596219 0.10909083 0.5082477 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34094398 0.11925763 0.46177128 0.07802712]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22296253 0.32391938 0.45311809]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63345556 0.22157425 0.         0.14497019]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39571434 0.16696587 0.21547878 0.22184101 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.123177   0.485705   0.26600138 0.12511662]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40769776 0.59230224 0.        ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23950651 0.         0.51721557 0.24327792]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50440234 0.21282518 0.         0.28277248 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09802342 0.08625176 0.16541518 0.65030963]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81147835 0.09282038 0.09570127]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11052023 0.62845204 0.11155077 0.14947696]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89450682 0.         0.10549318]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2803149  0.24665181 0.47303328 0.        ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1897735  0.13642107 0.67380544]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4108986  0.31516096 0.0947554  0.17918504]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59999295 0.         0.13836157 0.26164548]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58178007 0.41821993 0.        ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.37209209 0.         0.62790791 0.        ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.         0.42943136 0.         0.57056864 0.        ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12439679 0.70735841 0.         0.1682448 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2391039  0.59596343 0.16493267]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42508241 0.         0.         0.57491759]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414119 0.30540972 0.22081946 0.29962963]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.59178777 0.         0.40821223]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.         0.         0.68010519 0.31989481]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.         0.60449491 0.         0.39550509]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.         0.         0.34589782 0.65410218]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25071066 0.         0.31791326 0.43137608]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36756419 0.         0.         0.63243581]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27224361 0.48542462 0.24233178]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3593177 0.6406823 0.       ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
Iteration 100, Best Cost: 504
Best Paths: [(1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5}), (11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4}), (12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4})]
Best Cost: 504
/var/folders/ny/x91f_3hj6h90yj4gjh88c0tm0000gn/T/ipykernel_44882/3752455433.py:55: RuntimeWarning: invalid value encountered in divide
  probabilities = np.array(probabilities) / np.sum(probabilities)
In [ ]: